2025-08-26T20:07:14.3419294Z Current runner version: '2.328.0'
2025-08-26T20:07:14.3424815Z Runner name: 'i-0f84af936108d86dc'
2025-08-26T20:07:14.3425586Z Runner group name: 'default'
2025-08-26T20:07:14.3426384Z Machine name: 'ip-10-0-48-98'
2025-08-26T20:07:14.3428763Z ##[group]GITHUB_TOKEN Permissions
2025-08-26T20:07:14.3431162Z Contents: read
2025-08-26T20:07:14.3431676Z Metadata: read
2025-08-26T20:07:14.3432101Z ##[endgroup]
2025-08-26T20:07:14.3434257Z Secret source: Actions
2025-08-26T20:07:14.3434966Z Prepare workflow directory
2025-08-26T20:07:14.3875136Z Prepare all required actions
2025-08-26T20:07:14.3911327Z Getting action download info
2025-08-26T20:07:14.6467790Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0)
2025-08-26T20:07:16.2117780Z Download action repository 'pytorch/pytorch@main' (SHA:9f6e1b8730d6a7a7d012be90ae08674294aa4933)
2025-08-26T20:07:30.4234726Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-26T20:07:30.7848746Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-26T20:07:31.0053330Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-26T20:07:31.1799068Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T20:07:31.4835021Z Getting action download info
2025-08-26T20:07:31.6112359Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-26T20:07:31.8809225Z Getting action download info
2025-08-26T20:07:32.0117384Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-26T20:07:32.1888547Z Getting action download info
2025-08-26T20:07:32.2990522Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-26T20:07:32.5346211Z Getting action download info
2025-08-26T20:07:32.7126123Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d)
2025-08-26T20:07:32.7129707Z ##[group] Inputs
2025-08-26T20:07:32.7130040Z   build-environment: linux-jammy-py3.9-gcc11-build
2025-08-26T20:07:32.7132143Z   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"}]}
2025-08-26T20:07:32.7134314Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:07:32.7135009Z   sync-tag: 
2025-08-26T20:07:32.7135784Z   timeout-minutes: 240
2025-08-26T20:07:32.7136014Z   use-gha: 
2025-08-26T20:07:32.7136293Z   dashboard-tag: 
2025-08-26T20:07:32.7136564Z   s3-bucket: gha-artifacts
2025-08-26T20:07:32.7136823Z   aws-role-to-assume: 
2025-08-26T20:07:32.7137277Z   disable-monitor: false
2025-08-26T20:07:32.7137571Z   monitor-log-interval: 5
2025-08-26T20:07:32.7138194Z   monitor-data-collect-interval: 1
2025-08-26T20:07:32.7138637Z ##[endgroup]
2025-08-26T20:07:32.7139105Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:07:32.7617299Z A job started hook has been configured by the self-hosted runner administrator
2025-08-26T20:07:32.7705081Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-26T20:07:32.7712994Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:32.7713542Z ##[endgroup]
2025-08-26T20:07:33.8247475Z Runner Type: linux.8xlarge.amx
2025-08-26T20:07:33.8248123Z Instance Type: m7i-flex.8xlarge
2025-08-26T20:07:33.8248440Z AMI Name: unknown
2025-08-26T20:07:33.8283155Z AMI ID: ami-05ffe3c48a9991133
2025-08-26T20:07:38.5147236Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-26T20:07:38.5147645Z with:
2025-08-26T20:07:38.5148260Z   github-secret: ***
2025-08-26T20:07:38.5148856Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-26T20:07:38.5149429Z   activate-with-label: false
2025-08-26T20:07:38.5149718Z   label: with-ssh
2025-08-26T20:07:38.5149985Z   remove-existing-keys: true
2025-08-26T20:07:38.5150230Z   fail-silently: true
2025-08-26T20:07:38.5150537Z env:
2025-08-26T20:07:38.5150779Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:38.5151061Z ##[endgroup]
2025-08-26T20:07:38.6404723Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-26T20:07:38.6405706Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-26T20:07:38.6648744Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-26T20:07:38.6649082Z with:
2025-08-26T20:07:38.6649256Z   no-sudo: true
2025-08-26T20:07:38.6649437Z   submodules: recursive
2025-08-26T20:07:38.6649621Z   fetch-depth: 0
2025-08-26T20:07:38.6649787Z env:
2025-08-26T20:07:38.6649948Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:38.6650159Z ##[endgroup]
2025-08-26T20:07:38.6730911Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:07:38.6731556Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:07:38.6740178Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:38.6740738Z env:
2025-08-26T20:07:38.6740957Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:38.6741193Z ##[endgroup]
2025-08-26T20:07:38.6831131Z ##[group]Run # Use all available CPUs for fetching
2025-08-26T20:07:38.6831513Z # Use all available CPUs for fetching
2025-08-26T20:07:38.6831761Z cd "${GITHUB_WORKSPACE}"
2025-08-26T20:07:38.6832015Z git config --global fetch.parallel 0
2025-08-26T20:07:38.6832300Z git config --global submodule.fetchJobs 0
2025-08-26T20:07:38.6832807Z 
2025-08-26T20:07:38.6833090Z # Clean workspace. The default checkout action should also do this, but
2025-08-26T20:07:38.6833424Z # do it here as well just in case
2025-08-26T20:07:38.6833656Z if [[ -d .git ]]; then
2025-08-26T20:07:38.6833876Z   if [ -z "${NO_SUDO}" ]; then
2025-08-26T20:07:38.6834093Z     sudo git clean -ffdx
2025-08-26T20:07:38.6834301Z   else
2025-08-26T20:07:38.6834492Z     git clean -ffdx
2025-08-26T20:07:38.6834684Z   fi
2025-08-26T20:07:38.6834835Z fi
2025-08-26T20:07:38.6839868Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:38.6840109Z env:
2025-08-26T20:07:38.6840391Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:38.6840607Z   NO_SUDO: true
2025-08-26T20:07:38.6840767Z ##[endgroup]
2025-08-26T20:07:38.6959298Z ##[group]Run actions/checkout@v4
2025-08-26T20:07:38.6959549Z with:
2025-08-26T20:07:38.6959742Z   ref: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:07:38.6960172Z   fetch-depth: 0
2025-08-26T20:07:38.6960358Z   submodules: recursive
2025-08-26T20:07:38.6960553Z   show-progress: false
2025-08-26T20:07:38.6960751Z   repository: pytorch/pytorch
2025-08-26T20:07:38.6961087Z   token: ***
2025-08-26T20:07:38.6961251Z   ssh-strict: true
2025-08-26T20:07:38.6961418Z   ssh-user: git
2025-08-26T20:07:38.6961592Z   persist-credentials: true
2025-08-26T20:07:38.6961778Z   clean: true
2025-08-26T20:07:38.6961975Z   sparse-checkout-cone-mode: true
2025-08-26T20:07:38.6962188Z   fetch-tags: false
2025-08-26T20:07:38.6962353Z   lfs: false
2025-08-26T20:07:38.6962512Z   set-safe-directory: true
2025-08-26T20:07:38.6962707Z env:
2025-08-26T20:07:38.6962865Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:38.6963045Z ##[endgroup]
2025-08-26T20:07:38.7949508Z Syncing repository: pytorch/pytorch
2025-08-26T20:07:38.7950763Z ##[group]Getting Git version info
2025-08-26T20:07:38.7951122Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:07:38.7951624Z [command]/usr/bin/git version
2025-08-26T20:07:38.8185693Z git version 2.47.1
2025-08-26T20:07:38.8204958Z ##[endgroup]
2025-08-26T20:07:38.8220608Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a779d3e4-eec3-4c8d-90d8-f18c60d67021/.gitconfig'
2025-08-26T20:07:38.8241866Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a779d3e4-eec3-4c8d-90d8-f18c60d67021' before making global git config changes
2025-08-26T20:07:38.8242551Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T20:07:38.8255179Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:07:38.8305628Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:07:38.8310099Z ##[group]Initializing the repository
2025-08-26T20:07:38.8313611Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:07:38.8364838Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-26T20:07:38.8365300Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-26T20:07:38.8365740Z hint: of your new repositories, which will suppress this warning, call:
2025-08-26T20:07:38.8366042Z hint:
2025-08-26T20:07:38.8366281Z hint: 	git config --global init.defaultBranch <name>
2025-08-26T20:07:38.8366516Z hint:
2025-08-26T20:07:38.8366822Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-26T20:07:38.8367222Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-26T20:07:38.8367491Z hint:
2025-08-26T20:07:38.8367657Z hint: 	git branch -m <name>
2025-08-26T20:07:38.8383744Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-26T20:07:38.8391404Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-26T20:07:38.8434644Z ##[endgroup]
2025-08-26T20:07:38.8435192Z ##[group]Disabling automatic garbage collection
2025-08-26T20:07:38.8437380Z [command]/usr/bin/git config --local gc.auto 0
2025-08-26T20:07:38.8466292Z ##[endgroup]
2025-08-26T20:07:38.8466633Z ##[group]Setting up auth
2025-08-26T20:07:38.8467015Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T20:07:38.8496966Z [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' || :"
2025-08-26T20:07:38.8856198Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T20:07:38.8883540Z [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' || :"
2025-08-26T20:07:38.9200116Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:07:38.9261676Z ##[endgroup]
2025-08-26T20:07:38.9268510Z ##[group]Fetching the repository
2025-08-26T20:07:38.9269140Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-26T20:08:24.3513667Z From https://github.com/pytorch/pytorch
2025-08-26T20:08:24.3514379Z  * [new branch]              160583                      -> origin/160583
2025-08-26T20:08:24.3520881Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-26T20:08:24.3522699Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-26T20:08:24.3527524Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-26T20:08:24.3529445Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-26T20:08:24.3529895Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-08-26T20:08:24.3530492Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-26T20:08:24.3531006Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-26T20:08:24.3531429Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-26T20:08:24.3531819Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-26T20:08:24.3532476Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-26T20:08:24.3532849Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-26T20:08:24.3533214Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-26T20:08:24.3533558Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-08-26T20:08:24.3533965Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-26T20:08:24.3534402Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-26T20:08:24.3534763Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-26T20:08:24.3535146Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-08-26T20:08:24.3535517Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-26T20:08:24.3535862Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-26T20:08:24.3536188Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-26T20:08:24.3536516Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-26T20:08:24.3536842Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-26T20:08:24.3537146Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-26T20:08:24.3537470Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-26T20:08:24.3537794Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-26T20:08:24.3538197Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-26T20:08:24.3538564Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-26T20:08:24.3538985Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-26T20:08:24.3539320Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-26T20:08:24.3539693Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-26T20:08:24.3540059Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-26T20:08:24.3540891Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-26T20:08:24.3541267Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-26T20:08:24.3541682Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-26T20:08:24.3542147Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-26T20:08:24.3542583Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-26T20:08:24.3542938Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-26T20:08:24.3543361Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-26T20:08:24.3543788Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-26T20:08:24.3544158Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-26T20:08:24.3544525Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-26T20:08:24.3544899Z  * [new branch]              angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing
2025-08-26T20:08:24.3545277Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-26T20:08:24.3545643Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-26T20:08:24.3546031Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-26T20:08:24.3547376Z  * [new branch]              angelayi/opoverload         -> origin/angelayi/opoverload
2025-08-26T20:08:24.3547741Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-26T20:08:24.3548087Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-26T20:08:24.3548441Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-08-26T20:08:24.3548788Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-08-26T20:08:24.3549168Z  * [new branch]              angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta
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2025-08-26T20:08:24.7272274Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-08-26T20:08:24.7273787Z  * [new tag]                 ciflow/binaries/160229      -> ciflow/binaries/160229
2025-08-26T20:08:24.7274123Z  * [new tag]                 ciflow/binaries/160853      -> ciflow/binaries/160853
2025-08-26T20:08:24.7274248Z  * [new tag]                 ciflow/binaries/161257      -> ciflow/binaries/161257
2025-08-26T20:08:24.7274559Z  * [new tag]                 ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049
2025-08-26T20:08:24.7275040Z  * [new tag]                 ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049
2025-08-26T20:08:24.7276782Z  * [new tag]                 ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733
2025-08-26T20:08:24.7276937Z  * [new tag]                 ciflow/binaries_wheel/160207 -> ciflow/binaries_wheel/160207
2025-08-26T20:08:24.7277088Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-08-26T20:08:24.7277420Z  * [new tag]                 ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923
2025-08-26T20:08:24.7277807Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-08-26T20:08:24.7279252Z  * [new tag]                 ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562
2025-08-26T20:08:24.7279433Z  * [new tag]                 ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889
2025-08-26T20:08:24.7279591Z  * [new tag]                 ciflow/h100-symm-mem/160825 -> ciflow/h100-symm-mem/160825
2025-08-26T20:08:24.7279758Z  * [new tag]                 ciflow/h100-symm-mem/161008 -> ciflow/h100-symm-mem/161008
2025-08-26T20:08:24.7280009Z  * [new tag]                 ciflow/h100-symm-mem/161090 -> ciflow/h100-symm-mem/161090
2025-08-26T20:08:24.7280512Z  * [new tag]                 ciflow/h100-symm-mem/161214 -> ciflow/h100-symm-mem/161214
2025-08-26T20:08:24.7280851Z  * [new tag]                 ciflow/h100-symm-mem/161217 -> ciflow/h100-symm-mem/161217
2025-08-26T20:08:24.7282637Z  * [new tag]                 ciflow/h100-symm-mem/161232 -> ciflow/h100-symm-mem/161232
2025-08-26T20:08:24.7282862Z  * [new tag]                 ciflow/h100-symm-mem/161257 -> ciflow/h100-symm-mem/161257
2025-08-26T20:08:24.7283117Z  * [new tag]                 ciflow/h100-symm-mem/161309 -> ciflow/h100-symm-mem/161309
2025-08-26T20:08:24.7283273Z  * [new tag]                 ciflow/h100-symm-mem/161470 -> ciflow/h100-symm-mem/161470
2025-08-26T20:08:24.7283635Z  * [new tag]                 ciflow/h100-symm-mem/161471 -> ciflow/h100-symm-mem/161471
2025-08-26T20:08:24.7284210Z  * [new tag]                 ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532
2025-08-26T20:08:24.7284508Z  * [new tag]                 ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533
2025-08-26T20:08:24.7285617Z  * [new tag]                 ciflow/h100/159158          -> ciflow/h100/159158
2025-08-26T20:08:24.7286054Z  * [new tag]                 ciflow/h100/161225          -> ciflow/h100/161225
2025-08-26T20:08:24.7287650Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-26T20:08:24.7287934Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-08-26T20:08:24.7288138Z  * [new tag]                 ciflow/inductor-periodic/158137 -> ciflow/inductor-periodic/158137
2025-08-26T20:08:24.7288315Z  * [new tag]                 ciflow/inductor-periodic/160807 -> ciflow/inductor-periodic/160807
2025-08-26T20:08:24.7289068Z  * [new tag]                 ciflow/inductor-periodic/161461 -> ciflow/inductor-periodic/161461
2025-08-26T20:08:24.7289378Z  * [new tag]                 ciflow/inductor-periodic/161536 -> ciflow/inductor-periodic/161536
2025-08-26T20:08:24.7290152Z  * [new tag]                 ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:08:24.7290928Z  * [new tag]                 ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed -> ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:08:24.7292201Z  * [new tag]                 ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 -> ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:08:24.7292359Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-26T20:08:24.7292497Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-26T20:08:24.7293463Z  * [new tag]                 ciflow/inductor-rocm/160671 -> ciflow/inductor-rocm/160671
2025-08-26T20:08:24.7293702Z  * [new tag]                 ciflow/inductor-rocm/161180 -> ciflow/inductor-rocm/161180
2025-08-26T20:08:24.7294508Z  * [new tag]                 ciflow/inductor-rocm/161225 -> ciflow/inductor-rocm/161225
2025-08-26T20:08:24.7294824Z  * [new tag]                 ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521
2025-08-26T20:08:24.7295855Z  * [new tag]                 ciflow/inductor-windows/160406 -> ciflow/inductor-windows/160406
2025-08-26T20:08:24.7296338Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-26T20:08:24.7296538Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-26T20:08:24.7296990Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-26T20:08:24.7297597Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-26T20:08:24.7298309Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-26T20:08:24.7298790Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-26T20:08:24.7299095Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-26T20:08:24.7299567Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-26T20:08:24.7299925Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-26T20:08:24.7300436Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-26T20:08:24.7300949Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-26T20:08:24.7301506Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-26T20:08:24.7302620Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-26T20:08:24.7302968Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-26T20:08:24.7303418Z  * [new tag]                 ciflow/inductor/156875      -> ciflow/inductor/156875
2025-08-26T20:08:24.7303828Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-26T20:08:24.7304347Z  * [new tag]                 ciflow/inductor/157298      -> ciflow/inductor/157298
2025-08-26T20:08:24.7304785Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-26T20:08:24.7306123Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-26T20:08:24.7306382Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-26T20:08:24.7306517Z  * [new tag]                 ciflow/inductor/157767      -> ciflow/inductor/157767
2025-08-26T20:08:24.7308459Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-26T20:08:24.7308613Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-26T20:08:24.7309333Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-26T20:08:24.7309752Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-26T20:08:24.7310014Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-26T20:08:24.7310166Z  * [new tag]                 ciflow/inductor/158137      -> ciflow/inductor/158137
2025-08-26T20:08:24.7310295Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-26T20:08:24.7310619Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-26T20:08:24.7310753Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-26T20:08:24.7311218Z  * [new tag]                 ciflow/inductor/159003      -> ciflow/inductor/159003
2025-08-26T20:08:24.7311457Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-26T20:08:24.7311594Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-26T20:08:24.7312091Z  * [new tag]                 ciflow/inductor/159387      -> ciflow/inductor/159387
2025-08-26T20:08:24.7312861Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-26T20:08:24.7317109Z  * [new tag]                 ciflow/inductor/159664      -> ciflow/inductor/159664
2025-08-26T20:08:24.7317283Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-26T20:08:24.7317441Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-26T20:08:24.7317580Z  * [new tag]                 ciflow/inductor/159835      -> ciflow/inductor/159835
2025-08-26T20:08:24.7321989Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-26T20:08:24.7322251Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-26T20:08:24.7322870Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-26T20:08:24.7323255Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-26T20:08:24.7323401Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-26T20:08:24.7327762Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-26T20:08:24.7334783Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-26T20:08:24.7336599Z  * [new tag]                 ciflow/inductor/160180      -> ciflow/inductor/160180
2025-08-26T20:08:24.7337075Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-26T20:08:24.7337233Z  * [new tag]                 ciflow/inductor/160258      -> ciflow/inductor/160258
2025-08-26T20:08:24.7337371Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-26T20:08:24.7337496Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-26T20:08:24.7337644Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-26T20:08:24.7337785Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-26T20:08:24.7337913Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-26T20:08:24.7338035Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-26T20:08:24.7338173Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-26T20:08:24.7338300Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-26T20:08:24.7338447Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-26T20:08:24.7338578Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-26T20:08:24.7338701Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-26T20:08:24.7338825Z  * [new tag]                 ciflow/inductor/160449      -> ciflow/inductor/160449
2025-08-26T20:08:24.7338952Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-26T20:08:24.7339070Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-26T20:08:24.7339207Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-26T20:08:24.7339528Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-26T20:08:24.7339656Z  * [new tag]                 ciflow/inductor/160532      -> ciflow/inductor/160532
2025-08-26T20:08:24.7339779Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-26T20:08:24.7339900Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-26T20:08:24.7340032Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-26T20:08:24.7340160Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-26T20:08:24.7340289Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-26T20:08:24.7341786Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-26T20:08:24.7342357Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-26T20:08:24.7342544Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-26T20:08:24.7342678Z  * [new tag]                 ciflow/inductor/160690      -> ciflow/inductor/160690
2025-08-26T20:08:24.7342817Z  * [new tag]                 ciflow/inductor/160763      -> ciflow/inductor/160763
2025-08-26T20:08:24.7342947Z  * [new tag]                 ciflow/inductor/160772      -> ciflow/inductor/160772
2025-08-26T20:08:24.7343082Z  * [new tag]                 ciflow/inductor/160798      -> ciflow/inductor/160798
2025-08-26T20:08:24.7343374Z  * [new tag]                 ciflow/inductor/160807      -> ciflow/inductor/160807
2025-08-26T20:08:24.7343518Z  * [new tag]                 ciflow/inductor/160836      -> ciflow/inductor/160836
2025-08-26T20:08:24.7343650Z  * [new tag]                 ciflow/inductor/160861      -> ciflow/inductor/160861
2025-08-26T20:08:24.7343786Z  * [new tag]                 ciflow/inductor/160883      -> ciflow/inductor/160883
2025-08-26T20:08:24.7343936Z  * [new tag]                 ciflow/inductor/160888      -> ciflow/inductor/160888
2025-08-26T20:08:24.7344064Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-08-26T20:08:24.7344645Z  * [new tag]                 ciflow/inductor/160913      -> ciflow/inductor/160913
2025-08-26T20:08:24.7345105Z  * [new tag]                 ciflow/inductor/160941      -> ciflow/inductor/160941
2025-08-26T20:08:24.7345451Z  * [new tag]                 ciflow/inductor/160943      -> ciflow/inductor/160943
2025-08-26T20:08:24.7345854Z  * [new tag]                 ciflow/inductor/160991      -> ciflow/inductor/160991
2025-08-26T20:08:24.7346987Z  * [new tag]                 ciflow/inductor/160997      -> ciflow/inductor/160997
2025-08-26T20:08:24.7347159Z  * [new tag]                 ciflow/inductor/161003      -> ciflow/inductor/161003
2025-08-26T20:08:24.7347392Z  * [new tag]                 ciflow/inductor/161026      -> ciflow/inductor/161026
2025-08-26T20:08:24.7348001Z  * [new tag]                 ciflow/inductor/161032      -> ciflow/inductor/161032
2025-08-26T20:08:24.7348730Z  * [new tag]                 ciflow/inductor/161040      -> ciflow/inductor/161040
2025-08-26T20:08:24.7349019Z  * [new tag]                 ciflow/inductor/161055      -> ciflow/inductor/161055
2025-08-26T20:08:24.7349579Z  * [new tag]                 ciflow/inductor/161062      -> ciflow/inductor/161062
2025-08-26T20:08:24.7350143Z  * [new tag]                 ciflow/inductor/161069      -> ciflow/inductor/161069
2025-08-26T20:08:24.7350616Z  * [new tag]                 ciflow/inductor/161092      -> ciflow/inductor/161092
2025-08-26T20:08:24.7351094Z  * [new tag]                 ciflow/inductor/161093      -> ciflow/inductor/161093
2025-08-26T20:08:24.7351519Z  * [new tag]                 ciflow/inductor/161097      -> ciflow/inductor/161097
2025-08-26T20:08:24.7352896Z  * [new tag]                 ciflow/inductor/161098      -> ciflow/inductor/161098
2025-08-26T20:08:24.7353130Z  * [new tag]                 ciflow/inductor/161100      -> ciflow/inductor/161100
2025-08-26T20:08:24.7353417Z  * [new tag]                 ciflow/inductor/161107      -> ciflow/inductor/161107
2025-08-26T20:08:24.7357885Z  * [new tag]                 ciflow/inductor/161110      -> ciflow/inductor/161110
2025-08-26T20:08:24.7358036Z  * [new tag]                 ciflow/inductor/161117      -> ciflow/inductor/161117
2025-08-26T20:08:24.7358167Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-08-26T20:08:24.7358305Z  * [new tag]                 ciflow/inductor/161123      -> ciflow/inductor/161123
2025-08-26T20:08:24.7358529Z  * [new tag]                 ciflow/inductor/161124      -> ciflow/inductor/161124
2025-08-26T20:08:24.7368110Z  * [new tag]                 ciflow/inductor/161125      -> ciflow/inductor/161125
2025-08-26T20:08:24.7372613Z  * [new tag]                 ciflow/inductor/161126      -> ciflow/inductor/161126
2025-08-26T20:08:24.7374522Z  * [new tag]                 ciflow/inductor/161144      -> ciflow/inductor/161144
2025-08-26T20:08:24.7374886Z  * [new tag]                 ciflow/inductor/161148      -> ciflow/inductor/161148
2025-08-26T20:08:24.7377113Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-08-26T20:08:24.7377445Z  * [new tag]                 ciflow/inductor/161178      -> ciflow/inductor/161178
2025-08-26T20:08:24.7377628Z  * [new tag]                 ciflow/inductor/161190      -> ciflow/inductor/161190
2025-08-26T20:08:24.7377754Z  * [new tag]                 ciflow/inductor/161208      -> ciflow/inductor/161208
2025-08-26T20:08:24.7378057Z  * [new tag]                 ciflow/inductor/161225      -> ciflow/inductor/161225
2025-08-26T20:08:24.7378200Z  * [new tag]                 ciflow/inductor/161229      -> ciflow/inductor/161229
2025-08-26T20:08:24.7378471Z  * [new tag]                 ciflow/inductor/161237      -> ciflow/inductor/161237
2025-08-26T20:08:24.7378602Z  * [new tag]                 ciflow/inductor/161241      -> ciflow/inductor/161241
2025-08-26T20:08:24.7379196Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-08-26T20:08:24.7379516Z  * [new tag]                 ciflow/inductor/161274      -> ciflow/inductor/161274
2025-08-26T20:08:24.7379683Z  * [new tag]                 ciflow/inductor/161278      -> ciflow/inductor/161278
2025-08-26T20:08:24.7379812Z  * [new tag]                 ciflow/inductor/161279      -> ciflow/inductor/161279
2025-08-26T20:08:24.7379947Z  * [new tag]                 ciflow/inductor/161288      -> ciflow/inductor/161288
2025-08-26T20:08:24.7380077Z  * [new tag]                 ciflow/inductor/161314      -> ciflow/inductor/161314
2025-08-26T20:08:24.7380208Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-08-26T20:08:24.7380333Z  * [new tag]                 ciflow/inductor/161336      -> ciflow/inductor/161336
2025-08-26T20:08:24.7380455Z  * [new tag]                 ciflow/inductor/161337      -> ciflow/inductor/161337
2025-08-26T20:08:24.7380591Z  * [new tag]                 ciflow/inductor/161338      -> ciflow/inductor/161338
2025-08-26T20:08:24.7380711Z  * [new tag]                 ciflow/inductor/161339      -> ciflow/inductor/161339
2025-08-26T20:08:24.7380841Z  * [new tag]                 ciflow/inductor/161340      -> ciflow/inductor/161340
2025-08-26T20:08:24.7380961Z  * [new tag]                 ciflow/inductor/161341      -> ciflow/inductor/161341
2025-08-26T20:08:24.7381081Z  * [new tag]                 ciflow/inductor/161342      -> ciflow/inductor/161342
2025-08-26T20:08:24.7381214Z  * [new tag]                 ciflow/inductor/161343      -> ciflow/inductor/161343
2025-08-26T20:08:24.7381336Z  * [new tag]                 ciflow/inductor/161344      -> ciflow/inductor/161344
2025-08-26T20:08:24.7381465Z  * [new tag]                 ciflow/inductor/161345      -> ciflow/inductor/161345
2025-08-26T20:08:24.7381585Z  * [new tag]                 ciflow/inductor/161346      -> ciflow/inductor/161346
2025-08-26T20:08:24.7381810Z  * [new tag]                 ciflow/inductor/161347      -> ciflow/inductor/161347
2025-08-26T20:08:24.7381933Z  * [new tag]                 ciflow/inductor/161348      -> ciflow/inductor/161348
2025-08-26T20:08:24.7382055Z  * [new tag]                 ciflow/inductor/161349      -> ciflow/inductor/161349
2025-08-26T20:08:24.7382187Z  * [new tag]                 ciflow/inductor/161350      -> ciflow/inductor/161350
2025-08-26T20:08:24.7382310Z  * [new tag]                 ciflow/inductor/161351      -> ciflow/inductor/161351
2025-08-26T20:08:24.7382445Z  * [new tag]                 ciflow/inductor/161353      -> ciflow/inductor/161353
2025-08-26T20:08:24.7382568Z  * [new tag]                 ciflow/inductor/161354      -> ciflow/inductor/161354
2025-08-26T20:08:24.7382690Z  * [new tag]                 ciflow/inductor/161355      -> ciflow/inductor/161355
2025-08-26T20:08:24.7382823Z  * [new tag]                 ciflow/inductor/161362      -> ciflow/inductor/161362
2025-08-26T20:08:24.7382968Z  * [new tag]                 ciflow/inductor/161363      -> ciflow/inductor/161363
2025-08-26T20:08:24.7383266Z  * [new tag]                 ciflow/inductor/161382      -> ciflow/inductor/161382
2025-08-26T20:08:24.7383400Z  * [new tag]                 ciflow/inductor/161383      -> ciflow/inductor/161383
2025-08-26T20:08:24.7383530Z  * [new tag]                 ciflow/inductor/161385      -> ciflow/inductor/161385
2025-08-26T20:08:24.7383653Z  * [new tag]                 ciflow/inductor/161396      -> ciflow/inductor/161396
2025-08-26T20:08:24.7383780Z  * [new tag]                 ciflow/inductor/161397      -> ciflow/inductor/161397
2025-08-26T20:08:24.7383962Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-08-26T20:08:24.7384092Z  * [new tag]                 ciflow/inductor/161405      -> ciflow/inductor/161405
2025-08-26T20:08:24.7384226Z  * [new tag]                 ciflow/inductor/161406      -> ciflow/inductor/161406
2025-08-26T20:08:24.7384353Z  * [new tag]                 ciflow/inductor/161409      -> ciflow/inductor/161409
2025-08-26T20:08:24.7384493Z  * [new tag]                 ciflow/inductor/161410      -> ciflow/inductor/161410
2025-08-26T20:08:24.7384620Z  * [new tag]                 ciflow/inductor/161414      -> ciflow/inductor/161414
2025-08-26T20:08:24.7384743Z  * [new tag]                 ciflow/inductor/161416      -> ciflow/inductor/161416
2025-08-26T20:08:24.7384876Z  * [new tag]                 ciflow/inductor/161420      -> ciflow/inductor/161420
2025-08-26T20:08:24.7385001Z  * [new tag]                 ciflow/inductor/161431      -> ciflow/inductor/161431
2025-08-26T20:08:24.7385137Z  * [new tag]                 ciflow/inductor/161435      -> ciflow/inductor/161435
2025-08-26T20:08:24.7385268Z  * [new tag]                 ciflow/inductor/161440      -> ciflow/inductor/161440
2025-08-26T20:08:24.7385390Z  * [new tag]                 ciflow/inductor/161447      -> ciflow/inductor/161447
2025-08-26T20:08:24.7385521Z  * [new tag]                 ciflow/inductor/161452      -> ciflow/inductor/161452
2025-08-26T20:08:24.7385648Z  * [new tag]                 ciflow/inductor/161453      -> ciflow/inductor/161453
2025-08-26T20:08:24.7385782Z  * [new tag]                 ciflow/inductor/161458      -> ciflow/inductor/161458
2025-08-26T20:08:24.7386050Z  * [new tag]                 ciflow/inductor/161461      -> ciflow/inductor/161461
2025-08-26T20:08:24.7386293Z  * [new tag]                 ciflow/inductor/161464      -> ciflow/inductor/161464
2025-08-26T20:08:24.7386606Z  * [new tag]                 ciflow/inductor/161466      -> ciflow/inductor/161466
2025-08-26T20:08:24.7388344Z  * [new tag]                 ciflow/inductor/161468      -> ciflow/inductor/161468
2025-08-26T20:08:24.7388506Z  * [new tag]                 ciflow/inductor/161469      -> ciflow/inductor/161469
2025-08-26T20:08:24.7388635Z  * [new tag]                 ciflow/inductor/161474      -> ciflow/inductor/161474
2025-08-26T20:08:24.7388767Z  * [new tag]                 ciflow/inductor/161477      -> ciflow/inductor/161477
2025-08-26T20:08:24.7389223Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-08-26T20:08:24.7389488Z  * [new tag]                 ciflow/inductor/161486      -> ciflow/inductor/161486
2025-08-26T20:08:24.7390041Z  * [new tag]                 ciflow/inductor/161487      -> ciflow/inductor/161487
2025-08-26T20:08:24.7390519Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-08-26T20:08:24.7391109Z  * [new tag]                 ciflow/inductor/161497      -> ciflow/inductor/161497
2025-08-26T20:08:24.7392445Z  * [new tag]                 ciflow/inductor/161499      -> ciflow/inductor/161499
2025-08-26T20:08:24.7392748Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-08-26T20:08:24.7392893Z  * [new tag]                 ciflow/inductor/161521      -> ciflow/inductor/161521
2025-08-26T20:08:24.7393017Z  * [new tag]                 ciflow/inductor/161526      -> ciflow/inductor/161526
2025-08-26T20:08:24.7393469Z  * [new tag]                 ciflow/inductor/161530      -> ciflow/inductor/161530
2025-08-26T20:08:24.7393833Z  * [new tag]                 ciflow/inductor/161534      -> ciflow/inductor/161534
2025-08-26T20:08:24.7395066Z  * [new tag]                 ciflow/inductor/161536      -> ciflow/inductor/161536
2025-08-26T20:08:24.7395245Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-26T20:08:24.7395572Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-26T20:08:24.7397122Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-26T20:08:24.7397310Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-26T20:08:24.7397458Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-26T20:08:24.7397730Z  * [new tag]                 ciflow/linux-aarch64/160080 -> ciflow/linux-aarch64/160080
2025-08-26T20:08:24.7403201Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-26T20:08:24.7403371Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-26T20:08:24.7403490Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-26T20:08:24.7403613Z  * [new tag]                 ciflow/mps/160839           -> ciflow/mps/160839
2025-08-26T20:08:24.7403729Z  * [new tag]                 ciflow/mps/161511           -> ciflow/mps/161511
2025-08-26T20:08:24.7403898Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-26T20:08:24.7404101Z  * [new tag]                 ciflow/periodic-rocm-mi300/161180 -> ciflow/periodic-rocm-mi300/161180
2025-08-26T20:08:24.7404244Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-26T20:08:24.7404582Z  * [new tag]                 ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:08:24.7404763Z  * [new tag]                 ciflow/periodic/156491      -> ciflow/periodic/156491
2025-08-26T20:08:24.7404902Z  * [new tag]                 ciflow/periodic/161013      -> ciflow/periodic/161013
2025-08-26T20:08:24.7405036Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-26T20:08:24.7405235Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-26T20:08:24.7405371Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-26T20:08:24.7405903Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-26T20:08:24.7410388Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-26T20:08:24.7410769Z  * [new tag]                 ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:08:24.7411132Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-26T20:08:24.7411298Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-26T20:08:24.7411460Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-26T20:08:24.7411609Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-26T20:08:24.7411780Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-26T20:08:24.7411943Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-26T20:08:24.7416807Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-26T20:08:24.7416980Z  * [new tag]                 ciflow/rocm-mi300/161040    -> ciflow/rocm-mi300/161040
2025-08-26T20:08:24.7417110Z  * [new tag]                 ciflow/rocm-mi300/161180    -> ciflow/rocm-mi300/161180
2025-08-26T20:08:24.7417264Z  * [new tag]                 ciflow/rocm-mi300/161225    -> ciflow/rocm-mi300/161225
2025-08-26T20:08:24.7417391Z  * [new tag]                 ciflow/rocm-mi300/161429    -> ciflow/rocm-mi300/161429
2025-08-26T20:08:24.7417524Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-26T20:08:24.7417646Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-26T20:08:24.7417772Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-26T20:08:24.7418091Z  * [new tag]                 ciflow/rocm/152526          -> ciflow/rocm/152526
2025-08-26T20:08:24.7418218Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-26T20:08:24.7418345Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-26T20:08:24.7418458Z  * [new tag]                 ciflow/rocm/158352          -> ciflow/rocm/158352
2025-08-26T20:08:24.7418588Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-26T20:08:24.7418754Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-26T20:08:24.7419220Z  * [new tag]                 ciflow/rocm/160671          -> ciflow/rocm/160671
2025-08-26T20:08:24.7420229Z  * [new tag]                 ciflow/rocm/160676          -> ciflow/rocm/160676
2025-08-26T20:08:24.7420631Z  * [new tag]                 ciflow/rocm/161180          -> ciflow/rocm/161180
2025-08-26T20:08:24.7421021Z  * [new tag]                 ciflow/rocm/161225          -> ciflow/rocm/161225
2025-08-26T20:08:24.7424833Z  * [new tag]                 ciflow/rocm/161277          -> ciflow/rocm/161277
2025-08-26T20:08:24.7425360Z  * [new tag]                 ciflow/rocm/161429          -> ciflow/rocm/161429
2025-08-26T20:08:24.7425486Z  * [new tag]                 ciflow/rocm/161496          -> ciflow/rocm/161496
2025-08-26T20:08:24.7425611Z  * [new tag]                 ciflow/s390/160893          -> ciflow/s390/160893
2025-08-26T20:08:24.7425754Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-26T20:08:24.7426306Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-26T20:08:24.7428079Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-26T20:08:24.7428219Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-26T20:08:24.7428715Z  * [new tag]                 ciflow/slow/161182          -> ciflow/slow/161182
2025-08-26T20:08:24.7428867Z  * [new tag]                 ciflow/slow/161395          -> ciflow/slow/161395
2025-08-26T20:08:24.7429006Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-26T20:08:24.7429147Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-26T20:08:24.7429508Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-26T20:08:24.7429636Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-26T20:08:24.7429882Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-26T20:08:24.7430893Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-26T20:08:24.7432818Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-26T20:08:24.7432989Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-26T20:08:24.7436314Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-26T20:08:24.7436497Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-26T20:08:24.7436626Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-26T20:08:24.7436769Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-26T20:08:24.7436885Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-26T20:08:24.7437002Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-26T20:08:24.7437336Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-26T20:08:24.7437498Z  * [new tag]                 ciflow/torchbench/158137    -> ciflow/torchbench/158137
2025-08-26T20:08:24.7437772Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-26T20:08:24.7437900Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-26T20:08:24.7438334Z  * [new tag]                 ciflow/trunk/153784         -> ciflow/trunk/153784
2025-08-26T20:08:24.7438706Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-26T20:08:24.7439251Z  * [new tag]                 ciflow/trunk/154864         -> ciflow/trunk/154864
2025-08-26T20:08:24.7439713Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-08-26T20:08:24.7440673Z  * [new tag]                 ciflow/trunk/157196         -> ciflow/trunk/157196
2025-08-26T20:08:24.7441112Z  * [new tag]                 ciflow/trunk/157537         -> ciflow/trunk/157537
2025-08-26T20:08:24.7441442Z  * [new tag]                 ciflow/trunk/157767         -> ciflow/trunk/157767
2025-08-26T20:08:24.7441935Z  * [new tag]                 ciflow/trunk/157944         -> ciflow/trunk/157944
2025-08-26T20:08:24.7442307Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-26T20:08:24.7442996Z  * [new tag]                 ciflow/trunk/158541         -> ciflow/trunk/158541
2025-08-26T20:08:24.7443455Z  * [new tag]                 ciflow/trunk/158733         -> ciflow/trunk/158733
2025-08-26T20:08:24.7444775Z  * [new tag]                 ciflow/trunk/158747         -> ciflow/trunk/158747
2025-08-26T20:08:24.7445023Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-26T20:08:24.7445160Z  * [new tag]                 ciflow/trunk/159387         -> ciflow/trunk/159387
2025-08-26T20:08:24.7446164Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-26T20:08:24.7446445Z  * [new tag]                 ciflow/trunk/159786         -> ciflow/trunk/159786
2025-08-26T20:08:24.7446575Z  * [new tag]                 ciflow/trunk/159835         -> ciflow/trunk/159835
2025-08-26T20:08:24.7446991Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-26T20:08:24.7447428Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-26T20:08:24.7448069Z  * [new tag]                 ciflow/trunk/160156         -> ciflow/trunk/160156
2025-08-26T20:08:24.7449204Z  * [new tag]                 ciflow/trunk/160180         -> ciflow/trunk/160180
2025-08-26T20:08:24.7449439Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-26T20:08:24.7449937Z  * [new tag]                 ciflow/trunk/160258         -> ciflow/trunk/160258
2025-08-26T20:08:24.7450088Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-26T20:08:24.7450240Z  * [new tag]                 ciflow/trunk/160448         -> ciflow/trunk/160448
2025-08-26T20:08:24.7450846Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-26T20:08:24.7451277Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-26T20:08:24.7451746Z  * [new tag]                 ciflow/trunk/160532         -> ciflow/trunk/160532
2025-08-26T20:08:24.7452130Z  * [new tag]                 ciflow/trunk/160671         -> ciflow/trunk/160671
2025-08-26T20:08:24.7452732Z  * [new tag]                 ciflow/trunk/160677         -> ciflow/trunk/160677
2025-08-26T20:08:24.7453161Z  * [new tag]                 ciflow/trunk/160692         -> ciflow/trunk/160692
2025-08-26T20:08:24.7453709Z  * [new tag]                 ciflow/trunk/160781         -> ciflow/trunk/160781
2025-08-26T20:08:24.7454154Z  * [new tag]                 ciflow/trunk/160825         -> ciflow/trunk/160825
2025-08-26T20:08:24.7454626Z  * [new tag]                 ciflow/trunk/160836         -> ciflow/trunk/160836
2025-08-26T20:08:24.7455281Z  * [new tag]                 ciflow/trunk/160866         -> ciflow/trunk/160866
2025-08-26T20:08:24.7455745Z  * [new tag]                 ciflow/trunk/160915         -> ciflow/trunk/160915
2025-08-26T20:08:24.7458510Z  * [new tag]                 ciflow/trunk/160991         -> ciflow/trunk/160991
2025-08-26T20:08:24.7458667Z  * [new tag]                 ciflow/trunk/160992         -> ciflow/trunk/160992
2025-08-26T20:08:24.7458796Z  * [new tag]                 ciflow/trunk/161004         -> ciflow/trunk/161004
2025-08-26T20:08:24.7458930Z  * [new tag]                 ciflow/trunk/161016         -> ciflow/trunk/161016
2025-08-26T20:08:24.7459055Z  * [new tag]                 ciflow/trunk/161023         -> ciflow/trunk/161023
2025-08-26T20:08:24.7459181Z  * [new tag]                 ciflow/trunk/161026         -> ciflow/trunk/161026
2025-08-26T20:08:24.7459444Z  * [new tag]                 ciflow/trunk/161032         -> ciflow/trunk/161032
2025-08-26T20:08:24.7459915Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-08-26T20:08:24.7460422Z  * [new tag]                 ciflow/trunk/161040         -> ciflow/trunk/161040
2025-08-26T20:08:24.7464746Z  * [new tag]                 ciflow/trunk/161094         -> ciflow/trunk/161094
2025-08-26T20:08:24.7465263Z  * [new tag]                 ciflow/trunk/161097         -> ciflow/trunk/161097
2025-08-26T20:08:24.7465405Z  * [new tag]                 ciflow/trunk/161098         -> ciflow/trunk/161098
2025-08-26T20:08:24.7465516Z  * [new tag]                 ciflow/trunk/161100         -> ciflow/trunk/161100
2025-08-26T20:08:24.7465644Z  * [new tag]                 ciflow/trunk/161106         -> ciflow/trunk/161106
2025-08-26T20:08:24.7466110Z  * [new tag]                 ciflow/trunk/161110         -> ciflow/trunk/161110
2025-08-26T20:08:24.7466255Z  * [new tag]                 ciflow/trunk/161114         -> ciflow/trunk/161114
2025-08-26T20:08:24.7466383Z  * [new tag]                 ciflow/trunk/161117         -> ciflow/trunk/161117
2025-08-26T20:08:24.7466503Z  * [new tag]                 ciflow/trunk/161123         -> ciflow/trunk/161123
2025-08-26T20:08:24.7466658Z  * [new tag]                 ciflow/trunk/161124         -> ciflow/trunk/161124
2025-08-26T20:08:24.7466784Z  * [new tag]                 ciflow/trunk/161126         -> ciflow/trunk/161126
2025-08-26T20:08:24.7467062Z  * [new tag]                 ciflow/trunk/161131         -> ciflow/trunk/161131
2025-08-26T20:08:24.7467726Z  * [new tag]                 ciflow/trunk/161143         -> ciflow/trunk/161143
2025-08-26T20:08:24.7468072Z  * [new tag]                 ciflow/trunk/161144         -> ciflow/trunk/161144
2025-08-26T20:08:24.7468289Z  * [new tag]                 ciflow/trunk/161164         -> ciflow/trunk/161164
2025-08-26T20:08:24.7468603Z  * [new tag]                 ciflow/trunk/161180         -> ciflow/trunk/161180
2025-08-26T20:08:24.7469552Z  * [new tag]                 ciflow/trunk/161214         -> ciflow/trunk/161214
2025-08-26T20:08:24.7469814Z  * [new tag]                 ciflow/trunk/161217         -> ciflow/trunk/161217
2025-08-26T20:08:24.7470036Z  * [new tag]                 ciflow/trunk/161225         -> ciflow/trunk/161225
2025-08-26T20:08:24.7470658Z  * [new tag]                 ciflow/trunk/161236         -> ciflow/trunk/161236
2025-08-26T20:08:24.7471160Z  * [new tag]                 ciflow/trunk/161237         -> ciflow/trunk/161237
2025-08-26T20:08:24.7471662Z  * [new tag]                 ciflow/trunk/161241         -> ciflow/trunk/161241
2025-08-26T20:08:24.7472438Z  * [new tag]                 ciflow/trunk/161262         -> ciflow/trunk/161262
2025-08-26T20:08:24.7473194Z  * [new tag]                 ciflow/trunk/161263         -> ciflow/trunk/161263
2025-08-26T20:08:24.7474240Z  * [new tag]                 ciflow/trunk/161279         -> ciflow/trunk/161279
2025-08-26T20:08:24.7474374Z  * [new tag]                 ciflow/trunk/161306         -> ciflow/trunk/161306
2025-08-26T20:08:24.7476918Z  * [new tag]                 ciflow/trunk/161311         -> ciflow/trunk/161311
2025-08-26T20:08:24.7477085Z  * [new tag]                 ciflow/trunk/161354         -> ciflow/trunk/161354
2025-08-26T20:08:24.7477376Z  * [new tag]                 ciflow/trunk/161355         -> ciflow/trunk/161355
2025-08-26T20:08:24.7477515Z  * [new tag]                 ciflow/trunk/161362         -> ciflow/trunk/161362
2025-08-26T20:08:24.7477642Z  * [new tag]                 ciflow/trunk/161363         -> ciflow/trunk/161363
2025-08-26T20:08:24.7478008Z  * [new tag]                 ciflow/trunk/161370         -> ciflow/trunk/161370
2025-08-26T20:08:24.7478168Z  * [new tag]                 ciflow/trunk/161383         -> ciflow/trunk/161383
2025-08-26T20:08:24.7478385Z  * [new tag]                 ciflow/trunk/161385         -> ciflow/trunk/161385
2025-08-26T20:08:24.7483215Z  * [new tag]                 ciflow/trunk/161389         -> ciflow/trunk/161389
2025-08-26T20:08:24.7483361Z  * [new tag]                 ciflow/trunk/161392         -> ciflow/trunk/161392
2025-08-26T20:08:24.7483859Z  * [new tag]                 ciflow/trunk/161395         -> ciflow/trunk/161395
2025-08-26T20:08:24.7484029Z  * [new tag]                 ciflow/trunk/161396         -> ciflow/trunk/161396
2025-08-26T20:08:24.7484154Z  * [new tag]                 ciflow/trunk/161409         -> ciflow/trunk/161409
2025-08-26T20:08:24.7484270Z  * [new tag]                 ciflow/trunk/161410         -> ciflow/trunk/161410
2025-08-26T20:08:24.7484422Z  * [new tag]                 ciflow/trunk/161435         -> ciflow/trunk/161435
2025-08-26T20:08:24.7485568Z  * [new tag]                 ciflow/trunk/161437         -> ciflow/trunk/161437
2025-08-26T20:08:24.7486109Z  * [new tag]                 ciflow/trunk/161451         -> ciflow/trunk/161451
2025-08-26T20:08:24.7486248Z  * [new tag]                 ciflow/trunk/161453         -> ciflow/trunk/161453
2025-08-26T20:08:24.7486381Z  * [new tag]                 ciflow/trunk/161454         -> ciflow/trunk/161454
2025-08-26T20:08:24.7486498Z  * [new tag]                 ciflow/trunk/161489         -> ciflow/trunk/161489
2025-08-26T20:08:24.7486618Z  * [new tag]                 ciflow/trunk/161517         -> ciflow/trunk/161517
2025-08-26T20:08:24.7486768Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-26T20:08:24.7486909Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-26T20:08:24.7487042Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-26T20:08:24.7487167Z  * [new tag]                 ciflow/win-arm64/160258     -> ciflow/win-arm64/160258
2025-08-26T20:08:24.7490589Z  * [new tag]                 ciflow/win-arm64/161504     -> ciflow/win-arm64/161504
2025-08-26T20:08:24.7490852Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-26T20:08:24.7490998Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-26T20:08:24.7491143Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-26T20:08:24.7491273Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-26T20:08:24.7491406Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-26T20:08:24.7491527Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-26T20:08:24.7491659Z  * [new tag]                 ciflow/xpu/160940           -> ciflow/xpu/160940
2025-08-26T20:08:24.7491786Z  * [new tag]                 ciflow/xpu/161041           -> ciflow/xpu/161041
2025-08-26T20:08:24.7491915Z  * [new tag]                 ciflow/xpu/161045           -> ciflow/xpu/161045
2025-08-26T20:08:24.7492492Z  * [new tag]                 ciflow/xpu/161142           -> ciflow/xpu/161142
2025-08-26T20:08:24.7494442Z  * [new tag]                 ciflow/xpu/161152           -> ciflow/xpu/161152
2025-08-26T20:08:24.7494599Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-08-26T20:08:24.7494730Z  * [new tag]                 ciflow/xpu/161389           -> ciflow/xpu/161389
2025-08-26T20:08:24.7494852Z  * [new tag]                 ciflow/xpu/161392           -> ciflow/xpu/161392
2025-08-26T20:08:24.7495121Z  * [new tag]                 ciflow/xpu/161397           -> ciflow/xpu/161397
2025-08-26T20:08:24.7495351Z  * [new tag]                 ciflow/xpu/161477           -> ciflow/xpu/161477
2025-08-26T20:08:24.7495476Z  * [new tag]                 ciflow/xpu/161489           -> ciflow/xpu/161489
2025-08-26T20:08:24.7495599Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-26T20:08:24.7498723Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-26T20:08:24.7499071Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-26T20:08:24.7499204Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-26T20:08:24.7499310Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-26T20:08:24.7499422Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-26T20:08:24.7499522Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-26T20:08:24.7499642Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-26T20:08:24.7499744Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-26T20:08:24.7503063Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-26T20:08:24.7503665Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-26T20:08:24.7503991Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-26T20:08:24.7504210Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-26T20:08:24.7504325Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-26T20:08:24.7504427Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-26T20:08:24.7504538Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-26T20:08:24.7504643Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-26T20:08:24.7506733Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-26T20:08:24.7506952Z  * [new tag]                 flight_5                    -> flight_5
2025-08-26T20:08:24.7507151Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-26T20:08:24.7507256Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-26T20:08:24.7507518Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-26T20:08:24.7507624Z  * [new tag]                 forpull1                    -> forpull1
2025-08-26T20:08:24.7507754Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-26T20:08:24.7507885Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-26T20:08:24.7508008Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-26T20:08:24.7508472Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-26T20:08:24.7509129Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-26T20:08:24.7509700Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-26T20:08:24.7511627Z  * [new tag]                 trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1
2025-08-26T20:08:24.7511889Z  * [new tag]                 trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf -> trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf
2025-08-26T20:08:24.7512167Z  * [new tag]                 trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff -> trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff
2025-08-26T20:08:24.7513193Z  * [new tag]                 trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 -> trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2
2025-08-26T20:08:24.7513880Z  * [new tag]                 trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 -> trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8
2025-08-26T20:08:24.7514269Z  * [new tag]                 trunk/0924304e728b9507a54eced28c812fbd5b13c397 -> trunk/0924304e728b9507a54eced28c812fbd5b13c397
2025-08-26T20:08:24.7515454Z  * [new tag]                 trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 -> trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89
2025-08-26T20:08:24.7515719Z  * [new tag]                 trunk/0d19541284c38212235f78db24e3ac3ae4787e45 -> trunk/0d19541284c38212235f78db24e3ac3ae4787e45
2025-08-26T20:08:24.7520626Z  * [new tag]                 trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 -> trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863
2025-08-26T20:08:24.7520936Z  * [new tag]                 trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:08:24.7521177Z  * [new tag]                 trunk/0f801a510f5f185543388717241adb7237c3d46a -> trunk/0f801a510f5f185543388717241adb7237c3d46a
2025-08-26T20:08:24.7521427Z  * [new tag]                 trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 -> trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0
2025-08-26T20:08:24.7521694Z  * [new tag]                 trunk/1113e7de30da95973c1eac7921601f9a0e94f2db -> trunk/1113e7de30da95973c1eac7921601f9a0e94f2db
2025-08-26T20:08:24.7521933Z  * [new tag]                 trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb -> trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb
2025-08-26T20:08:24.7522178Z  * [new tag]                 trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 -> trunk/1471b20cb3fc502931ef12b1420414e32facd5b0
2025-08-26T20:08:24.7522428Z  * [new tag]                 trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 -> trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053
2025-08-26T20:08:24.7522679Z  * [new tag]                 trunk/17b0263e86aec8aed068bb8b6744b129233e8084 -> trunk/17b0263e86aec8aed068bb8b6744b129233e8084
2025-08-26T20:08:24.7522907Z  * [new tag]                 trunk/18271148d32da3d48897e9e7515de45066fce5bc -> trunk/18271148d32da3d48897e9e7515de45066fce5bc
2025-08-26T20:08:24.7523158Z  * [new tag]                 trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 -> trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4
2025-08-26T20:08:24.7523408Z  * [new tag]                 trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 -> trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712
2025-08-26T20:08:24.7523658Z  * [new tag]                 trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 -> trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8
2025-08-26T20:08:24.7524133Z  * [new tag]                 trunk/1d46aa736fc8870dc88015c729a8c64470fa985c -> trunk/1d46aa736fc8870dc88015c729a8c64470fa985c
2025-08-26T20:08:24.7524756Z  * [new tag]                 trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 -> trunk/1de4540449ad6b9df8f452ab72da30ce8908af60
2025-08-26T20:08:24.7525215Z  * [new tag]                 trunk/1e3fe78a104776cd708f150116348540346dae25 -> trunk/1e3fe78a104776cd708f150116348540346dae25
2025-08-26T20:08:24.7525842Z  * [new tag]                 trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a -> trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a
2025-08-26T20:08:24.7531889Z  * [new tag]                 trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a -> trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a
2025-08-26T20:08:24.7533962Z  * [new tag]                 trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c -> trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c
2025-08-26T20:08:24.7534216Z  * [new tag]                 trunk/209143ddeb99b0b075d16525088cee4893be7492 -> trunk/209143ddeb99b0b075d16525088cee4893be7492
2025-08-26T20:08:24.7534476Z  * [new tag]                 trunk/22df59efc0a845b3ff37019029efd07c5a25c456 -> trunk/22df59efc0a845b3ff37019029efd07c5a25c456
2025-08-26T20:08:24.7534736Z  * [new tag]                 trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 -> trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3
2025-08-26T20:08:24.7534990Z  * [new tag]                 trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a -> trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a
2025-08-26T20:08:24.7535267Z  * [new tag]                 trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 -> trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9
2025-08-26T20:08:24.7535695Z  * [new tag]                 trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:24.7535960Z  * [new tag]                 trunk/266784ec6ae82f823abe406582e7a91f2ebb564a -> trunk/266784ec6ae82f823abe406582e7a91f2ebb564a
2025-08-26T20:08:24.7536240Z  * [new tag]                 trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 -> trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409
2025-08-26T20:08:24.7536484Z  * [new tag]                 trunk/284b7190054686e68d9cc683b6ce43e45dd22338 -> trunk/284b7190054686e68d9cc683b6ce43e45dd22338
2025-08-26T20:08:24.7536723Z  * [new tag]                 trunk/29afde20203ee6773641b4e3552942a37315316f -> trunk/29afde20203ee6773641b4e3552942a37315316f
2025-08-26T20:08:24.7536970Z  * [new tag]                 trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e -> trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e
2025-08-26T20:08:24.7537211Z  * [new tag]                 trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 -> trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8
2025-08-26T20:08:24.7538551Z  * [new tag]                 trunk/2beffb3311a41589021c121dac543994a7cbdff2 -> trunk/2beffb3311a41589021c121dac543994a7cbdff2
2025-08-26T20:08:24.7538859Z  * [new tag]                 trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 -> trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54
2025-08-26T20:08:24.7539147Z  * [new tag]                 trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 -> trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421
2025-08-26T20:08:24.7539503Z  * [new tag]                 trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 -> trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10
2025-08-26T20:08:24.7539845Z  * [new tag]                 trunk/2f0cba934de7094a66c6ce68f5e937254f23142a -> trunk/2f0cba934de7094a66c6ce68f5e937254f23142a
2025-08-26T20:08:24.7540206Z  * [new tag]                 trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:08:24.7540580Z  * [new tag]                 trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf -> trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf
2025-08-26T20:08:24.7540920Z  * [new tag]                 trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 -> trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06
2025-08-26T20:08:24.7541253Z  * [new tag]                 trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 -> trunk/30384abcb1d181e774c0ac21b580aa34336a96c6
2025-08-26T20:08:24.7541707Z  * [new tag]                 trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d -> trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d
2025-08-26T20:08:24.7541964Z  * [new tag]                 trunk/332fa5b388521c05a19217649745c6edfdc2836d -> trunk/332fa5b388521c05a19217649745c6edfdc2836d
2025-08-26T20:08:24.7542205Z  * [new tag]                 trunk/33346b58148c55592994a43385c321ae8c8808f2 -> trunk/33346b58148c55592994a43385c321ae8c8808f2
2025-08-26T20:08:24.7542467Z  * [new tag]                 trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 -> trunk/3373b074f5ea5277974fa6e945544fdfb16bb446
2025-08-26T20:08:24.7542704Z  * [new tag]                 trunk/33c3794533844236a6e30ba377e0a6802b279fc8 -> trunk/33c3794533844236a6e30ba377e0a6802b279fc8
2025-08-26T20:08:24.7543316Z  * [new tag]                 trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 -> trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208
2025-08-26T20:08:24.7544396Z  * [new tag]                 trunk/36ac916929ca67b533cc45932970297e9824324e -> trunk/36ac916929ca67b533cc45932970297e9824324e
2025-08-26T20:08:24.7544665Z  * [new tag]                 trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 -> trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76
2025-08-26T20:08:24.7544916Z  * [new tag]                 trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b -> trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b
2025-08-26T20:08:24.7546854Z  * [new tag]                 trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 -> trunk/37a34022b59a6ff2757e5cec0fdc72278418f339
2025-08-26T20:08:24.7547302Z  * [new tag]                 trunk/38a492d40d7ebb2856cb120df337c6cdac244528 -> trunk/38a492d40d7ebb2856cb120df337c6cdac244528
2025-08-26T20:08:24.7547586Z  * [new tag]                 trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 -> trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728
2025-08-26T20:08:24.7547853Z  * [new tag]                 trunk/39862acb2e320783245d2a03acfd1b14cae28038 -> trunk/39862acb2e320783245d2a03acfd1b14cae28038
2025-08-26T20:08:24.7548257Z  * [new tag]                 trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f -> trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f
2025-08-26T20:08:24.7548603Z  * [new tag]                 trunk/3caddd4daa5b1a167663c07219e065e86247ad76 -> trunk/3caddd4daa5b1a167663c07219e065e86247ad76
2025-08-26T20:08:24.7549223Z  * [new tag]                 trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 -> trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9
2025-08-26T20:08:24.7550217Z  * [new tag]                 trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa -> trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa
2025-08-26T20:08:24.7550477Z  * [new tag]                 trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 -> trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062
2025-08-26T20:08:24.7551525Z  * [new tag]                 trunk/3e5b021f217a42ae55dc690083f67a28126808ed -> trunk/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:08:24.7551774Z  * [new tag]                 trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 -> trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39
2025-08-26T20:08:24.7552022Z  * [new tag]                 trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 -> trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24
2025-08-26T20:08:24.7552397Z  * [new tag]                 trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 -> trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3
2025-08-26T20:08:24.7553564Z  * [new tag]                 trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 -> trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759
2025-08-26T20:08:24.7553809Z  * [new tag]                 trunk/419a2dbf5f69cee52382090200b532a81da92c69 -> trunk/419a2dbf5f69cee52382090200b532a81da92c69
2025-08-26T20:08:24.7554362Z  * [new tag]                 trunk/431846a6323c6f1d02da49e311ac694324f386f4 -> trunk/431846a6323c6f1d02da49e311ac694324f386f4
2025-08-26T20:08:24.7555461Z  * [new tag]                 trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 -> trunk/44549c7146bd6c4166f97e856037babe1b7f4f49
2025-08-26T20:08:24.7556084Z  * [new tag]                 trunk/447d34b5f80fb7350f79decd855cb599cab39083 -> trunk/447d34b5f80fb7350f79decd855cb599cab39083
2025-08-26T20:08:24.7556582Z  * [new tag]                 trunk/46429be72323c1807a785234164bd91011f68d08 -> trunk/46429be72323c1807a785234164bd91011f68d08
2025-08-26T20:08:24.7556979Z  * [new tag]                 trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 -> trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8
2025-08-26T20:08:24.7557580Z  * [new tag]                 trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab -> trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab
2025-08-26T20:08:24.7558186Z  * [new tag]                 trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 -> trunk/47d267364cad407b5612bf4a5faa160d2f4a7121
2025-08-26T20:08:24.7558727Z  * [new tag]                 trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 -> trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24
2025-08-26T20:08:24.7559414Z  * [new tag]                 trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 -> trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4
2025-08-26T20:08:24.7560711Z  * [new tag]                 trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 -> trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52
2025-08-26T20:08:24.7560958Z  * [new tag]                 trunk/4c36c8a99463c898190a462300ba7f05b5b3384e -> trunk/4c36c8a99463c898190a462300ba7f05b5b3384e
2025-08-26T20:08:24.7561190Z  * [new tag]                 trunk/4e19c1906a830714c1d9d71361357ce616a034d6 -> trunk/4e19c1906a830714c1d9d71361357ce616a034d6
2025-08-26T20:08:24.7561658Z  * [new tag]                 trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 -> trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898
2025-08-26T20:08:24.7562098Z  * [new tag]                 trunk/50cfe76231768ee2c784f68a1eba03369f386019 -> trunk/50cfe76231768ee2c784f68a1eba03369f386019
2025-08-26T20:08:24.7562731Z  * [new tag]                 trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 -> trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810
2025-08-26T20:08:24.7563255Z  * [new tag]                 trunk/512fc768e94c937df350911aaa4ebce757d1f9df -> trunk/512fc768e94c937df350911aaa4ebce757d1f9df
2025-08-26T20:08:24.7564467Z  * [new tag]                 trunk/517d38d3406abbba35d0694bff259a698cad3ec9 -> trunk/517d38d3406abbba35d0694bff259a698cad3ec9
2025-08-26T20:08:24.7564871Z  * [new tag]                 trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 -> trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2
2025-08-26T20:08:24.7565523Z  * [new tag]                 trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed -> trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed
2025-08-26T20:08:24.7566084Z  * [new tag]                 trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb -> trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb
2025-08-26T20:08:24.7566468Z  * [new tag]                 trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 -> trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1
2025-08-26T20:08:24.7567173Z  * [new tag]                 trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 -> trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7
2025-08-26T20:08:24.7567875Z  * [new tag]                 trunk/576a0e64ed2470abd2c430205d1984a11951ce05 -> trunk/576a0e64ed2470abd2c430205d1984a11951ce05
2025-08-26T20:08:24.7568369Z  * [new tag]                 trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa -> trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa
2025-08-26T20:08:24.7569051Z  * [new tag]                 trunk/58f9a3dd6391397e439c5f5075837e8f983735aa -> trunk/58f9a3dd6391397e439c5f5075837e8f983735aa
2025-08-26T20:08:24.7569543Z  * [new tag]                 trunk/595987d28d4c8aee68de83734af919c7710ad58b -> trunk/595987d28d4c8aee68de83734af919c7710ad58b
2025-08-26T20:08:24.7570259Z  * [new tag]                 trunk/599f639ddb8bb45abb2dc305542f38288427183d -> trunk/599f639ddb8bb45abb2dc305542f38288427183d
2025-08-26T20:08:24.7570842Z  * [new tag]                 trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 -> trunk/5afa4187dfe1e99278f8e372ec09102d5b937572
2025-08-26T20:08:24.7572219Z  * [new tag]                 trunk/5d9653d90ee003173dd03f93e09fed236500ef06 -> trunk/5d9653d90ee003173dd03f93e09fed236500ef06
2025-08-26T20:08:24.7572627Z  * [new tag]                 trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e -> trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e
2025-08-26T20:08:24.7572890Z  * [new tag]                 trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f -> trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f
2025-08-26T20:08:24.7573231Z  * [new tag]                 trunk/6096d277c543f5dd40351431ef9a8d556134c74d -> trunk/6096d277c543f5dd40351431ef9a8d556134c74d
2025-08-26T20:08:24.7573828Z  * [new tag]                 trunk/62db8ec39116544ae247f876b3e06753178db49b -> trunk/62db8ec39116544ae247f876b3e06753178db49b
2025-08-26T20:08:24.7574405Z  * [new tag]                 trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 -> trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1
2025-08-26T20:08:24.7574934Z  * [new tag]                 trunk/6443ea337df843681bc558d99efa84a3e5559b7f -> trunk/6443ea337df843681bc558d99efa84a3e5559b7f
2025-08-26T20:08:24.7575645Z  * [new tag]                 trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f
2025-08-26T20:08:24.7576151Z  * [new tag]                 trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 -> trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611
2025-08-26T20:08:24.7577306Z  * [new tag]                 trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 -> trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43
2025-08-26T20:08:24.7577568Z  * [new tag]                 trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc -> trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc
2025-08-26T20:08:24.7578136Z  * [new tag]                 trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 -> trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03
2025-08-26T20:08:24.7578609Z  * [new tag]                 trunk/67b98da1b262317f9c0375d64a4b467c82712548 -> trunk/67b98da1b262317f9c0375d64a4b467c82712548
2025-08-26T20:08:24.7579267Z  * [new tag]                 trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab -> trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab
2025-08-26T20:08:24.7579833Z  * [new tag]                 trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 -> trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4
2025-08-26T20:08:24.7580484Z  * [new tag]                 trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 -> trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9
2025-08-26T20:08:24.7580956Z  * [new tag]                 trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 -> trunk/6ea4be1e2eca952ea66090182bd2eede89799a45
2025-08-26T20:08:24.7581683Z  * [new tag]                 trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 -> trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021
2025-08-26T20:08:24.7583011Z  * [new tag]                 trunk/710514a2a51facaba445d2c188541d778f9fdb59 -> trunk/710514a2a51facaba445d2c188541d778f9fdb59
2025-08-26T20:08:24.7583350Z  * [new tag]                 trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 -> trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1
2025-08-26T20:08:24.7583615Z  * [new tag]                 trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 -> trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72
2025-08-26T20:08:24.7584018Z  * [new tag]                 trunk/72e4786d1635681b8d053d0168c7d16b980e5124 -> trunk/72e4786d1635681b8d053d0168c7d16b980e5124
2025-08-26T20:08:24.7584437Z  * [new tag]                 trunk/7376111d59f3170c2814d565c09d09435189692a -> trunk/7376111d59f3170c2814d565c09d09435189692a
2025-08-26T20:08:24.7585600Z  * [new tag]                 trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1
2025-08-26T20:08:24.7587387Z  * [new tag]                 trunk/74280d091321343b47a2975e17584b973d7c22c4 -> trunk/74280d091321343b47a2975e17584b973d7c22c4
2025-08-26T20:08:24.7587699Z  * [new tag]                 trunk/74c4c758afa8c28162f00a456c185552e1159fd3 -> trunk/74c4c758afa8c28162f00a456c185552e1159fd3
2025-08-26T20:08:24.7587946Z  * [new tag]                 trunk/763053dc536341997641e920d8887b3010901b3b -> trunk/763053dc536341997641e920d8887b3010901b3b
2025-08-26T20:08:24.7589772Z  * [new tag]                 trunk/774b4befa18741b3115802cae71000168a40c384 -> trunk/774b4befa18741b3115802cae71000168a40c384
2025-08-26T20:08:24.7590018Z  * [new tag]                 trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806
2025-08-26T20:08:24.7590254Z  * [new tag]                 trunk/78a8e6a671c5631bc0e89b0e674790a424540547 -> trunk/78a8e6a671c5631bc0e89b0e674790a424540547
2025-08-26T20:08:24.7590510Z  * [new tag]                 trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 -> trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808
2025-08-26T20:08:24.7591878Z  * [new tag]                 trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea -> trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea
2025-08-26T20:08:24.7592117Z  * [new tag]                 trunk/7f201baf414301b3312576893b7f6f2698acd9ba -> trunk/7f201baf414301b3312576893b7f6f2698acd9ba
2025-08-26T20:08:24.7592377Z  * [new tag]                 trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a -> trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a
2025-08-26T20:08:24.7592761Z  * [new tag]                 trunk/801851086d09506d081800108c9e214edb3f5b7d -> trunk/801851086d09506d081800108c9e214edb3f5b7d
2025-08-26T20:08:24.7593850Z  * [new tag]                 trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f -> trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f
2025-08-26T20:08:24.7594098Z  * [new tag]                 trunk/80df27a612be3433516d7e6dfc8d8be058425d3e -> trunk/80df27a612be3433516d7e6dfc8d8be058425d3e
2025-08-26T20:08:24.7594568Z  * [new tag]                 trunk/818ba434c7de4cd604184b2857d544e0ad95735f -> trunk/818ba434c7de4cd604184b2857d544e0ad95735f
2025-08-26T20:08:24.7595550Z  * [new tag]                 trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 -> trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527
2025-08-26T20:08:24.7595804Z  * [new tag]                 trunk/85adf80cf15538a7e010fa235036fe8e06f8bede -> trunk/85adf80cf15538a7e010fa235036fe8e06f8bede
2025-08-26T20:08:24.7596780Z  * [new tag]                 trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 -> trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740
2025-08-26T20:08:24.7597039Z  * [new tag]                 trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 -> trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2
2025-08-26T20:08:24.7598923Z  * [new tag]                 trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 -> trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8
2025-08-26T20:08:24.7599222Z  * [new tag]                 trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 -> trunk/8cfc119491f533c4edded4263a78eb0af782a2d5
2025-08-26T20:08:24.7599858Z  * [new tag]                 trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e -> trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e
2025-08-26T20:08:24.7600187Z  * [new tag]                 trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa -> trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa
2025-08-26T20:08:24.7600452Z  * [new tag]                 trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 -> trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9
2025-08-26T20:08:24.7601105Z  * [new tag]                 trunk/8f766d68397736053883aa281cae0eb46bb233bb -> trunk/8f766d68397736053883aa281cae0eb46bb233bb
2025-08-26T20:08:24.7601563Z  * [new tag]                 trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 -> trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836
2025-08-26T20:08:24.7602246Z  * [new tag]                 trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b -> trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b
2025-08-26T20:08:24.7602696Z  * [new tag]                 trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e -> trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e
2025-08-26T20:08:24.7603591Z  * [new tag]                 trunk/923bc46122d173a7964c646311a3bea3cd8dd561 -> trunk/923bc46122d173a7964c646311a3bea3cd8dd561
2025-08-26T20:08:24.7604067Z  * [new tag]                 trunk/92ab18482459a63e97f1374e27e8411964da9762 -> trunk/92ab18482459a63e97f1374e27e8411964da9762
2025-08-26T20:08:24.7604779Z  * [new tag]                 trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e -> trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e
2025-08-26T20:08:24.7609373Z  * [new tag]                 trunk/957b170d8efe2a51147e0cdb7515acc345ba81da -> trunk/957b170d8efe2a51147e0cdb7515acc345ba81da
2025-08-26T20:08:24.7609663Z  * [new tag]                 trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae -> trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae
2025-08-26T20:08:24.7609939Z  * [new tag]                 trunk/96682103026b5ea27f19e6db9303e17572095b0e -> trunk/96682103026b5ea27f19e6db9303e17572095b0e
2025-08-26T20:08:24.7610201Z  * [new tag]                 trunk/97200c971110d54030feaad999698c7341f8acc7 -> trunk/97200c971110d54030feaad999698c7341f8acc7
2025-08-26T20:08:24.7610522Z  * [new tag]                 trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be -> trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be
2025-08-26T20:08:24.7610770Z  * [new tag]                 trunk/995397d47a0e27394ee1010f158e181eb304100a -> trunk/995397d47a0e27394ee1010f158e181eb304100a
2025-08-26T20:08:24.7611032Z  * [new tag]                 trunk/9a41570199155eee92ebd28452a556075e34e1b4 -> trunk/9a41570199155eee92ebd28452a556075e34e1b4
2025-08-26T20:08:24.7612948Z  * [new tag]                 trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da -> trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da
2025-08-26T20:08:24.7613588Z  * [new tag]                 trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 -> trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44
2025-08-26T20:08:24.7613885Z  * [new tag]                 trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a -> trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a
2025-08-26T20:08:24.7614319Z  * [new tag]                 trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 -> trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5
2025-08-26T20:08:24.7614752Z  * [new tag]                 trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 -> trunk/9d882fd9ffc6ad2a292fee548740aabfea745002
2025-08-26T20:08:24.7615014Z  * [new tag]                 trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 -> trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3
2025-08-26T20:08:24.7615280Z  * [new tag]                 trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a -> trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a
2025-08-26T20:08:24.7615540Z  * [new tag]                 trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea -> trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea
2025-08-26T20:08:24.7615782Z  * [new tag]                 trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933 -> trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933
2025-08-26T20:08:24.7617516Z  * [new tag]                 trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b
2025-08-26T20:08:24.7617772Z  * [new tag]                 trunk/a154c2093c0f2646346f032e1f30012779b3c51d -> trunk/a154c2093c0f2646346f032e1f30012779b3c51d
2025-08-26T20:08:24.7618042Z  * [new tag]                 trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 -> trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88
2025-08-26T20:08:24.7618310Z  * [new tag]                 trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 -> trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645
2025-08-26T20:08:24.7618575Z  * [new tag]                 trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 -> trunk/a3fe1ced409d186628ff2975f05ba529a86fae84
2025-08-26T20:08:24.7618821Z  * [new tag]                 trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 -> trunk/a43480d19cdd68e544163b1a07c328a9c54723b8
2025-08-26T20:08:24.7620502Z  * [new tag]                 trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 -> trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77
2025-08-26T20:08:24.7620775Z  * [new tag]                 trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b -> trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b
2025-08-26T20:08:24.7621021Z  * [new tag]                 trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 -> trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182
2025-08-26T20:08:24.7621272Z  * [new tag]                 trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 -> trunk/a68f63e33161b4665e0f4c399bf8072135a35a57
2025-08-26T20:08:24.7621668Z  * [new tag]                 trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b -> trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b
2025-08-26T20:08:24.7621916Z  * [new tag]                 trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb -> trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb
2025-08-26T20:08:24.7624186Z  * [new tag]                 trunk/a818fa77e3a72271f144514ef349c5a666313205 -> trunk/a818fa77e3a72271f144514ef349c5a666313205
2025-08-26T20:08:24.7624448Z  * [new tag]                 trunk/a825557ed53507e85ac613862311a81eb88710a4 -> trunk/a825557ed53507e85ac613862311a81eb88710a4
2025-08-26T20:08:24.7624702Z  * [new tag]                 trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e -> trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e
2025-08-26T20:08:24.7624967Z  * [new tag]                 trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 -> trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88
2025-08-26T20:08:24.7625227Z  * [new tag]                 trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 -> trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58
2025-08-26T20:08:24.7625485Z  * [new tag]                 trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b -> trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b
2025-08-26T20:08:24.7625745Z  * [new tag]                 trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 -> trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6
2025-08-26T20:08:24.7628129Z  * [new tag]                 trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b -> trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b
2025-08-26T20:08:24.7628474Z  * [new tag]                 trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e -> trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e
2025-08-26T20:08:24.7628738Z  * [new tag]                 trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 -> trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83
2025-08-26T20:08:24.7628999Z  * [new tag]                 trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc -> trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc
2025-08-26T20:08:24.7629255Z  * [new tag]                 trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 -> trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18
2025-08-26T20:08:24.7629502Z  * [new tag]                 trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 -> trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6
2025-08-26T20:08:24.7629758Z  * [new tag]                 trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 -> trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687
2025-08-26T20:08:24.7630015Z  * [new tag]                 trunk/b2632e79828300302fd11e093d765196c3c0db58 -> trunk/b2632e79828300302fd11e093d765196c3c0db58
2025-08-26T20:08:24.7630264Z  * [new tag]                 trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 -> trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67
2025-08-26T20:08:24.7630517Z  * [new tag]                 trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 -> trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27
2025-08-26T20:08:24.7630775Z  * [new tag]                 trunk/b708966201811b31ee765ec57715ac21d06ef652 -> trunk/b708966201811b31ee765ec57715ac21d06ef652
2025-08-26T20:08:24.7631034Z  * [new tag]                 trunk/b9e9e92817fd7d1a778f074105603efb07e05004 -> trunk/b9e9e92817fd7d1a778f074105603efb07e05004
2025-08-26T20:08:24.7632205Z  * [new tag]                 trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:08:24.7632535Z  * [new tag]                 trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 -> trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045
2025-08-26T20:08:24.7634074Z  * [new tag]                 trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a -> trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a
2025-08-26T20:08:24.7634312Z  * [new tag]                 trunk/be2e6b3158552405acc13ef7829a0217826fb271 -> trunk/be2e6b3158552405acc13ef7829a0217826fb271
2025-08-26T20:08:24.7634811Z  * [new tag]                 trunk/be87f22dfba4488963fcc854699829e2782ee0f2 -> trunk/be87f22dfba4488963fcc854699829e2782ee0f2
2025-08-26T20:08:24.7635378Z  * [new tag]                 trunk/becd6cd744bdf950578519437652a0d1f4b48781 -> trunk/becd6cd744bdf950578519437652a0d1f4b48781
2025-08-26T20:08:24.7636858Z  * [new tag]                 trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 -> trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216
2025-08-26T20:08:24.7637153Z  * [new tag]                 trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 -> trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32
2025-08-26T20:08:24.7637632Z  * [new tag]                 trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 -> trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7
2025-08-26T20:08:24.7638272Z  * [new tag]                 trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 -> trunk/c2390087c34c964ef648addf43efb8c6a34e30c2
2025-08-26T20:08:24.7638825Z  * [new tag]                 trunk/c4670e40c9b741d50a79b714e3830149833be908 -> trunk/c4670e40c9b741d50a79b714e3830149833be908
2025-08-26T20:08:24.7639521Z  * [new tag]                 trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a -> trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a
2025-08-26T20:08:24.7645573Z  * [new tag]                 trunk/c60dea5261d9648d1da51528a07731966bb6823e -> trunk/c60dea5261d9648d1da51528a07731966bb6823e
2025-08-26T20:08:24.7645862Z  * [new tag]                 trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc -> trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc
2025-08-26T20:08:24.7646098Z  * [new tag]                 trunk/c7a77470c54b28e555319e34048af14d1d66198a -> trunk/c7a77470c54b28e555319e34048af14d1d66198a
2025-08-26T20:08:24.7646347Z  * [new tag]                 trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 -> trunk/c7fb031706330684fc3a2d8d169bebea874d4e95
2025-08-26T20:08:24.7646761Z  * [new tag]                 trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca -> trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca
2025-08-26T20:08:24.7647016Z  * [new tag]                 trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f -> trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f
2025-08-26T20:08:24.7647260Z  * [new tag]                 trunk/caf98fde0d5c47452af45dc77099449edd521579 -> trunk/caf98fde0d5c47452af45dc77099449edd521579
2025-08-26T20:08:24.7647519Z  * [new tag]                 trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 -> trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1
2025-08-26T20:08:24.7647766Z  * [new tag]                 trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f -> trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f
2025-08-26T20:08:24.7648013Z  * [new tag]                 trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d -> trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d
2025-08-26T20:08:24.7648265Z  * [new tag]                 trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec -> trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec
2025-08-26T20:08:24.7648685Z  * [new tag]                 trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138
2025-08-26T20:08:24.7649431Z  * [new tag]                 trunk/ce048de608180fa88335e5821070472539968b54 -> trunk/ce048de608180fa88335e5821070472539968b54
2025-08-26T20:08:24.7651708Z  * [new tag]                 trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 -> trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936
2025-08-26T20:08:24.7651977Z  * [new tag]                 trunk/cee72119b2dec7776bc2550dd39a9b1349772751 -> trunk/cee72119b2dec7776bc2550dd39a9b1349772751
2025-08-26T20:08:24.7652260Z  * [new tag]                 trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 -> trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0
2025-08-26T20:08:24.7652522Z  * [new tag]                 trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e -> trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e
2025-08-26T20:08:24.7652803Z  * [new tag]                 trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a -> trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a
2025-08-26T20:08:24.7653040Z  * [new tag]                 trunk/d228a776e90368bb693837ae23285ad8fc33def5 -> trunk/d228a776e90368bb693837ae23285ad8fc33def5
2025-08-26T20:08:24.7653301Z  * [new tag]                 trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 -> trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31
2025-08-26T20:08:24.7653707Z  * [new tag]                 trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c
2025-08-26T20:08:24.7653963Z  * [new tag]                 trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8
2025-08-26T20:08:24.7654208Z  * [new tag]                 trunk/d875d3ca1e5099636c766c9df70ac5888c25215a -> trunk/d875d3ca1e5099636c766c9df70ac5888c25215a
2025-08-26T20:08:24.7654475Z  * [new tag]                 trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 -> trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892
2025-08-26T20:08:24.7654739Z  * [new tag]                 trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e -> trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e
2025-08-26T20:08:24.7654999Z  * [new tag]                 trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 -> trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0
2025-08-26T20:08:24.7655388Z  * [new tag]                 trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 -> trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8
2025-08-26T20:08:24.7656325Z  * [new tag]                 trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 -> trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769
2025-08-26T20:08:24.7656880Z  * [new tag]                 trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 -> trunk/df571ae7ad7dacf77ce42c00189cf369d7993387
2025-08-26T20:08:24.7657534Z  * [new tag]                 trunk/df6073641079c781e66a905e4f15ee49ac257eb2 -> trunk/df6073641079c781e66a905e4f15ee49ac257eb2
2025-08-26T20:08:24.7658141Z  * [new tag]                 trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec -> trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec
2025-08-26T20:08:24.7661781Z  * [new tag]                 trunk/e20f6d798606f3245686e950c43635bbe526232d -> trunk/e20f6d798606f3245686e950c43635bbe526232d
2025-08-26T20:08:24.7662071Z  * [new tag]                 trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 -> trunk/e25ee0290ef16503f178e04890c15717f6e9ea44
2025-08-26T20:08:24.7662349Z  * [new tag]                 trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa -> trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa
2025-08-26T20:08:24.7662633Z  * [new tag]                 trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a -> trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a
2025-08-26T20:08:24.7662875Z  * [new tag]                 trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 -> trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79
2025-08-26T20:08:24.7663116Z  * [new tag]                 trunk/e4839470470168648dee5997f57347bb8541ea2b -> trunk/e4839470470168648dee5997f57347bb8541ea2b
2025-08-26T20:08:24.7663376Z  * [new tag]                 trunk/e63155751825ba026ced3a1fc89563231bc85ccc -> trunk/e63155751825ba026ced3a1fc89563231bc85ccc
2025-08-26T20:08:24.7667452Z  * [new tag]                 trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 -> trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717
2025-08-26T20:08:24.7667765Z  * [new tag]                 trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb -> trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb
2025-08-26T20:08:24.7668062Z  * [new tag]                 trunk/e795450a35bca909902e12de99245e1c0e7e2872 -> trunk/e795450a35bca909902e12de99245e1c0e7e2872
2025-08-26T20:08:24.7668322Z  * [new tag]                 trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 -> trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71
2025-08-26T20:08:24.7668574Z  * [new tag]                 trunk/e836323a23f5750e800abe04ef8ca386b3066b58 -> trunk/e836323a23f5750e800abe04ef8ca386b3066b58
2025-08-26T20:08:24.7668842Z  * [new tag]                 trunk/e83825f91cb2901567fedbf31ba7cc434a897271 -> trunk/e83825f91cb2901567fedbf31ba7cc434a897271
2025-08-26T20:08:24.7669102Z  * [new tag]                 trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 -> trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3
2025-08-26T20:08:24.7669363Z  * [new tag]                 trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 -> trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4
2025-08-26T20:08:24.7669777Z  * [new tag]                 trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 -> trunk/eba1ad09e47b66478f973e03cece7f314ac3b412
2025-08-26T20:08:24.7670032Z  * [new tag]                 trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 -> trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282
2025-08-26T20:08:24.7670285Z  * [new tag]                 trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 -> trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2
2025-08-26T20:08:24.7670557Z  * [new tag]                 trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 -> trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3
2025-08-26T20:08:24.7670819Z  * [new tag]                 trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 -> trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259
2025-08-26T20:08:24.7671372Z  * [new tag]                 trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a -> trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a
2025-08-26T20:08:24.7673138Z  * [new tag]                 trunk/f085f299584b06a2a7d8855eda2a411313e782ad -> trunk/f085f299584b06a2a7d8855eda2a411313e782ad
2025-08-26T20:08:24.7673478Z  * [new tag]                 trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 -> trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8
2025-08-26T20:08:24.7673763Z  * [new tag]                 trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999
2025-08-26T20:08:24.7674139Z  * [new tag]                 trunk/f30501937738a2440f90988d1d46920529309ba8 -> trunk/f30501937738a2440f90988d1d46920529309ba8
2025-08-26T20:08:24.7675264Z  * [new tag]                 trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 -> trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744
2025-08-26T20:08:24.7675535Z  * [new tag]                 trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 -> trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1
2025-08-26T20:08:24.7676000Z  * [new tag]                 trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a -> trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a
2025-08-26T20:08:24.7676641Z  * [new tag]                 trunk/f795e92802c55608ad4f4f198726d250056d0232 -> trunk/f795e92802c55608ad4f4f198726d250056d0232
2025-08-26T20:08:24.7677377Z  * [new tag]                 trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d -> trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d
2025-08-26T20:08:24.7678236Z  * [new tag]                 trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 -> trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935
2025-08-26T20:08:24.7678660Z  * [new tag]                 trunk/f912c93344caa74e24c8164a2e25fe84a8203073 -> trunk/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:08:24.7679453Z  * [new tag]                 trunk/f9875166a953a51bbd454d963ee03d41818a27e8 -> trunk/f9875166a953a51bbd454d963ee03d41818a27e8
2025-08-26T20:08:24.7679938Z  * [new tag]                 trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 -> trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36
2025-08-26T20:08:24.7680588Z  * [new tag]                 trunk/fab5dac734344105ae107e85c08151758a4a9b4d -> trunk/fab5dac734344105ae107e85c08151758a4a9b4d
2025-08-26T20:08:24.7681381Z  * [new tag]                 trunk/fb241d0a448f1dd88471098ac149418124a7c4aa -> trunk/fb241d0a448f1dd88471098ac149418124a7c4aa
2025-08-26T20:08:24.7681866Z  * [new tag]                 trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 -> trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1
2025-08-26T20:08:24.7685905Z  * [new tag]                 trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 -> trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0
2025-08-26T20:08:24.7686196Z  * [new tag]                 trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 -> trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0
2025-08-26T20:08:24.7686458Z  * [new tag]                 trunk/fecc5f600110209aaaedead11770a445b3c879e6 -> trunk/fecc5f600110209aaaedead11770a445b3c879e6
2025-08-26T20:08:24.7686734Z  * [new tag]                 trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 -> trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8
2025-08-26T20:08:24.7687043Z  * [new tag]                 trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec -> trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec
2025-08-26T20:08:24.7687836Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-26T20:08:24.7687963Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-26T20:08:24.7688315Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-26T20:08:24.7689577Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-26T20:08:24.7689715Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-26T20:08:24.7689871Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-26T20:08:24.7690175Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-26T20:08:24.7692724Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-26T20:08:24.7692873Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-26T20:08:24.7692977Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-26T20:08:24.7693097Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-26T20:08:24.7693196Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-26T20:08:24.7693573Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-26T20:08:24.7698526Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-26T20:08:24.7698669Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-26T20:08:24.7698779Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-26T20:08:24.7699024Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-26T20:08:24.7699135Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-26T20:08:24.7699249Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-26T20:08:24.7699354Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-26T20:08:24.7699460Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-26T20:08:24.7699564Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-26T20:08:24.7699675Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-26T20:08:24.7700058Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-26T20:08:24.7701136Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-26T20:08:24.7701285Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-26T20:08:24.7703573Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-26T20:08:24.7703746Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-26T20:08:24.7703859Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-26T20:08:24.7703973Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-26T20:08:24.7704087Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-26T20:08:24.7704504Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-26T20:08:24.7705354Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-26T20:08:24.7705918Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-26T20:08:24.7706661Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-26T20:08:24.7707089Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-26T20:08:24.7709831Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-26T20:08:24.7710001Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-26T20:08:24.7710108Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-26T20:08:24.7710216Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-26T20:08:24.7710323Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-26T20:08:24.7710598Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-26T20:08:24.7710929Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-26T20:08:24.7711919Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-26T20:08:24.7712079Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-26T20:08:24.7713277Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-26T20:08:24.7713573Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-26T20:08:24.7713973Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-26T20:08:24.7715682Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-26T20:08:24.7715823Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-26T20:08:24.7722500Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-26T20:08:24.7722807Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-26T20:08:24.7727583Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-26T20:08:24.7732063Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-26T20:08:24.7736508Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-26T20:08:24.7742214Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-26T20:08:24.7742811Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-26T20:08:24.7743175Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-26T20:08:24.7743287Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-26T20:08:24.7743397Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-26T20:08:24.7743514Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-26T20:08:24.7743623Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-26T20:08:24.7743738Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-26T20:08:24.7743847Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-26T20:08:24.7743953Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-26T20:08:24.7744057Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-26T20:08:24.7744162Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-26T20:08:24.7744260Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-26T20:08:24.7744368Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-26T20:08:24.7744460Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-26T20:08:24.7744565Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-26T20:08:24.7744657Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-26T20:08:24.7744754Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-26T20:08:24.7744870Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-26T20:08:24.7744970Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-26T20:08:24.7745083Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-26T20:08:24.7745192Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-26T20:08:24.7745288Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-26T20:08:24.7745394Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-26T20:08:24.7745491Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-26T20:08:24.7745591Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-26T20:08:24.7745685Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-26T20:08:24.7745856Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-26T20:08:24.7745971Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-26T20:08:24.7746066Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-26T20:08:24.7746169Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-26T20:08:24.7746275Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-26T20:08:24.7746379Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-26T20:08:24.7746478Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-26T20:08:24.7746576Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-26T20:08:24.7746720Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-26T20:08:24.7746846Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-26T20:08:24.7746957Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-26T20:08:24.7747057Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-26T20:08:24.7747159Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-26T20:08:24.7747279Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-26T20:08:24.7747386Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-26T20:08:24.7747488Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-26T20:08:24.7747751Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-26T20:08:24.7748983Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-26T20:08:24.7749101Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-26T20:08:24.7749650Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-26T20:08:24.7749969Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-26T20:08:24.7750598Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-26T20:08:24.7751040Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-26T20:08:24.7751474Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-26T20:08:24.7751931Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-26T20:08:24.7758090Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-26T20:08:24.7758397Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-26T20:08:24.7758559Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-26T20:08:24.7758668Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-26T20:08:24.7758914Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-26T20:08:24.7760127Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-26T20:08:24.7760502Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-26T20:08:24.7760624Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-26T20:08:24.7760730Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-26T20:08:24.7760828Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-26T20:08:24.7760943Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-26T20:08:24.7761049Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-26T20:08:24.7761166Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-26T20:08:24.7761267Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-26T20:08:24.7761374Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-26T20:08:24.7761775Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-26T20:08:24.7762026Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-26T20:08:24.7763624Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-26T20:08:24.7763744Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-26T20:08:24.7763888Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-26T20:08:24.7764009Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-26T20:08:24.7766473Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-26T20:08:24.7766627Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-26T20:08:24.7766761Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-26T20:08:24.7767006Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-26T20:08:24.7767463Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-26T20:08:24.7768481Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-26T20:08:24.7769041Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-26T20:08:24.7769211Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-26T20:08:24.7770617Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-26T20:08:24.7770775Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-26T20:08:24.7770898Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-26T20:08:24.7774027Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-26T20:08:24.7774336Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-26T20:08:24.7774452Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-26T20:08:24.7774553Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-26T20:08:24.7775018Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-26T20:08:24.7775148Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-26T20:08:24.7775376Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-26T20:08:24.7776092Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-26T20:08:24.7780685Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-26T20:08:24.7785779Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-26T20:08:24.7787655Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-26T20:08:24.7788233Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-26T20:08:24.7788399Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-26T20:08:24.7788515Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-26T20:08:24.7788624Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-26T20:08:24.7788721Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-26T20:08:24.7788838Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-26T20:08:24.7788944Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-26T20:08:24.7789045Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-26T20:08:24.7789150Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-26T20:08:24.7789246Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-26T20:08:24.7789350Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-26T20:08:24.7789451Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-26T20:08:24.7789555Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-26T20:08:24.7789652Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-26T20:08:24.7789749Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-26T20:08:24.7790006Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-26T20:08:24.7790117Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-26T20:08:24.7790234Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-26T20:08:24.7790332Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-26T20:08:24.7790439Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-26T20:08:24.7790548Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-26T20:08:24.7790653Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-26T20:08:24.7790759Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-26T20:08:24.7790859Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-26T20:08:24.7791433Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-26T20:08:24.7791903Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-26T20:08:24.7792390Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-26T20:08:24.7793055Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-26T20:08:24.7794036Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-26T20:08:24.7794161Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-26T20:08:24.7797584Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-26T20:08:24.7797912Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-26T20:08:24.7798056Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-26T20:08:24.7798168Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-26T20:08:24.7798268Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-26T20:08:24.7798393Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-26T20:08:24.7798718Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-26T20:08:24.7799289Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-26T20:08:24.7803654Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-26T20:08:24.7803804Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-26T20:08:24.7803922Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-26T20:08:24.7804046Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-26T20:08:24.7804159Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-26T20:08:24.7804256Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-26T20:08:24.7804354Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-26T20:08:24.7804634Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-26T20:08:24.7805495Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-26T20:08:24.7805636Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-26T20:08:24.7805819Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-26T20:08:24.7809447Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-26T20:08:24.7809744Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-26T20:08:24.7809886Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-26T20:08:24.7810005Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-26T20:08:24.7810107Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-26T20:08:24.7810218Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-26T20:08:24.7810485Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-26T20:08:24.7810935Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-26T20:08:24.7811267Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-26T20:08:24.7811776Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-26T20:08:24.7812891Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-26T20:08:24.7813008Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-26T20:08:24.7816367Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-26T20:08:24.7816529Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-26T20:08:24.7817520Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-26T20:08:24.7818115Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-26T20:08:24.7818263Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-26T20:08:24.7818403Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-26T20:08:24.7818507Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-26T20:08:24.7818656Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-26T20:08:24.7819701Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-26T20:08:24.7819827Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-26T20:08:24.7823559Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-26T20:08:24.7824009Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-26T20:08:24.7824129Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-26T20:08:24.7824233Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-26T20:08:24.7824341Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-26T20:08:24.7824440Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-26T20:08:24.7824761Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-26T20:08:24.7825079Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-26T20:08:24.7825379Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-26T20:08:24.7826414Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-26T20:08:24.7826569Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-26T20:08:24.7827658Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-26T20:08:24.7827965Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-26T20:08:24.7828999Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-26T20:08:24.7829261Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-26T20:08:24.7830021Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-26T20:08:24.7830514Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-26T20:08:24.7831450Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-26T20:08:24.7832016Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-26T20:08:24.7833152Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-26T20:08:24.7835155Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-26T20:08:24.7835299Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-26T20:08:24.7840916Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-26T20:08:24.7841127Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-26T20:08:24.7841249Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-26T20:08:24.7841370Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-26T20:08:24.8316663Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object}
2025-08-26T20:08:24.8347289Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:24.8348541Z ##[endgroup]
2025-08-26T20:08:24.8348874Z ##[group]Determining the checkout info
2025-08-26T20:08:24.8349511Z ##[endgroup]
2025-08-26T20:08:24.8354238Z [command]/usr/bin/git sparse-checkout disable
2025-08-26T20:08:24.8398701Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-26T20:08:24.8426959Z ##[group]Checking out the ref
2025-08-26T20:08:24.8430271Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:25.8630929Z Updating files:  96% (18781/19395)
2025-08-26T20:08:25.8783727Z Updating files:  97% (18814/19395)
2025-08-26T20:08:25.9007364Z Updating files:  98% (19008/19395)
2025-08-26T20:08:25.9134211Z Updating files:  99% (19202/19395)
2025-08-26T20:08:25.9134698Z Updating files: 100% (19395/19395)
2025-08-26T20:08:25.9135084Z Updating files: 100% (19395/19395), done.
2025-08-26T20:08:25.9367592Z Note: switching to '262640fd220236042fbf4443cc163c8838c84c3d'.
2025-08-26T20:08:25.9367855Z 
2025-08-26T20:08:25.9368022Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-26T20:08:25.9368372Z changes and commit them, and you can discard any commits you make in this
2025-08-26T20:08:25.9368721Z state without impacting any branches by switching back to a branch.
2025-08-26T20:08:25.9368926Z 
2025-08-26T20:08:25.9369063Z If you want to create a new branch to retain commits you create, you may
2025-08-26T20:08:25.9369708Z do so (now or later) by using -c with the switch command. Example:
2025-08-26T20:08:25.9369891Z 
2025-08-26T20:08:25.9369990Z   git switch -c <new-branch-name>
2025-08-26T20:08:25.9370127Z 
2025-08-26T20:08:25.9370216Z Or undo this operation with:
2025-08-26T20:08:25.9370338Z 
2025-08-26T20:08:25.9370409Z   git switch -
2025-08-26T20:08:25.9370514Z 
2025-08-26T20:08:25.9370686Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-26T20:08:25.9370907Z 
2025-08-26T20:08:25.9371062Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519)
2025-08-26T20:08:25.9416840Z ##[endgroup]
2025-08-26T20:08:25.9417202Z ##[group]Setting up auth for fetching submodules
2025-08-26T20:08:25.9422948Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:08:25.9487994Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-26T20:08:25.9523186Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-26T20:08:25.9553104Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-26T20:08:25.9579620Z ##[endgroup]
2025-08-26T20:08:25.9580104Z ##[group]Fetching submodules
2025-08-26T20:08:25.9584134Z [command]/usr/bin/git submodule sync --recursive
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2025-08-26T20:08:26.0234751Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
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2025-08-26T20:08:26.0563982Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-26T20:08:26.0564937Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-26T20:08:26.0568026Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-26T20:08:26.0570071Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-26T20:08:26.0572525Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
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2025-08-26T20:08:39.9128991Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
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2025-08-26T20:08:40.8013962Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
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2025-08-26T20:08:44.9458517Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-26T20:08:45.2090505Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
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2025-08-26T20:08:46.0646540Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-26T20:08:46.0647296Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:08:46.0648049Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:08:46.0648731Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-26T20:08:46.0649848Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-26T20:08:46.0651634Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:08:46.0653379Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-26T20:08:46.0688188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
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2025-08-26T20:08:52.6432859Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
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2025-08-26T20:08:58.5060197Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-26T20:08:58.5084387Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-26T20:09:10.4958494Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-26T20:09:10.5139047Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-26T20:09:10.6051457Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-26T20:09:10.6070238Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:10.6071080Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:10.6071837Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:10.6100379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-26T20:09:11.2787960Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-26T20:09:11.8688521Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-26T20:09:11.9443070Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-26T20:09:11.9458047Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:11.9464867Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:11.9467110Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:11.9467882Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:11.9468632Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:11.9469434Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:11.9470242Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:11.9471006Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:11.9499905Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-26T20:09:13.3240502Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-26T20:09:13.3241330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-26T20:09:13.3242118Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-26T20:09:13.3242820Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-26T20:09:13.3243545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-26T20:09:13.3244480Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-26T20:09:13.4241944Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-26T20:09:19.5530259Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-26T20:09:19.5689702Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-26T20:09:19.6028708Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-26T20:09:19.6165441Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-26T20:09:19.6182395Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:19.6206721Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-26T20:09:19.9029389Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-26T20:09:19.9204916Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-26T20:09:19.9578230Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-26T20:09:20.0499165Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-26T20:09:20.0656104Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-26T20:09:20.1014619Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-26T20:09:20.1571938Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-26T20:09:20.1965370Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-26T20:09:20.2326311Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-26T20:09:20.3351530Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-26T20:09:20.6409738Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-26T20:09:20.6443096Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:20.6471560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-26T20:09:21.6729923Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-26T20:09:21.7324424Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-26T20:09:21.7340165Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:21.7341268Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:21.7343301Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:21.7344687Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:21.7346973Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:21.7349163Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:21.7350894Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:21.7355005Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:21.7380482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-26T20:09:22.1744148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-26T20:09:22.1744901Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-26T20:09:22.1745575Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-26T20:09:22.1746466Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-26T20:09:22.2743682Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-26T20:09:22.7862086Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-26T20:09:28.3978242Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-26T20:09:29.8082732Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-26T20:09:29.8472194Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-26T20:09:29.8636948Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-26T20:09:29.9648517Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-26T20:09:29.9792290Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-26T20:09:29.9936240Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-26T20:09:30.0153134Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-26T20:09:30.0172426Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:30.0175097Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:30.0202517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-26T20:09:32.0242865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-26T20:09:32.2561810Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-26T20:09:32.2994107Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-26T20:09:32.6524005Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-26T20:09:32.6643413Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-26T20:09:32.9033722Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-26T20:09:32.9056232Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:32.9057489Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:32.9084692Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-26T20:09:33.7288039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-26T20:09:33.8796436Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-26T20:09:33.9481202Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-26T20:09:33.9577036Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-26T20:09:33.9713741Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-26T20:09:34.0081871Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-08-26T20:09:34.0355141Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-26T20:09:34.0762543Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-26T20:09:34.1001292Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-08-26T20:09:34.1019512Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:34.1020472Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:34.1021165Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:34.1022141Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:34.1052509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-08-26T20:09:35.0583435Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-08-26T20:09:35.0887330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-08-26T20:09:35.3064888Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-08-26T20:09:35.3605907Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-26T20:09:35.3752294Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-08-26T20:09:35.4421285Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-08-26T20:09:35.4692079Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-08-26T20:09:35.4706351Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:35.4743461Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-08-26T20:09:35.6860364Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-08-26T20:09:35.6895206Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-08-26T20:09:35.7206334Z Entering 'android/libs/fbjni'
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2025-08-26T20:09:35.7332835Z Entering 'third_party/NNPACK'
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2025-08-26T20:09:35.7414918Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:35.7459137Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:35.7513133Z Entering 'third_party/aiter'
2025-08-26T20:09:35.7552970Z Entering 'third_party/aiter/3rdparty/composable_kernel'
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2025-08-26T20:09:35.7918984Z Entering 'third_party/fbgemm/external/asmjit'
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2025-08-26T20:09:36.0629736Z ##[endgroup]
2025-08-26T20:09:36.0630530Z ##[group]Persisting credentials for submodules
2025-08-26T20:09:36.0631226Z [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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2025-08-26T20:09:36.1287939Z Entering 'third_party/XNNPACK'
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2025-08-26T20:09:36.3085121Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-08-26T20:09:36.3193225Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:36.3249828Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
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2025-08-26T20:09:36.3635727Z Entering 'third_party/kleidiai'
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2025-08-26T20:09:36.3871601Z Entering 'third_party/onnx/third_party/pybind11'
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2025-08-26T20:09:36.3980383Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
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2025-08-26T20:09:36.4091893Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:36.4144592Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:36.4198500Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:36.4254618Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:36.4307099Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:36.4361208Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:36.4417809Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:36.4477357Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:36.4545170Z Entering 'third_party/pocketfft'
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2025-08-26T20:09:36.4709509Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:36.4770326Z Entering 'third_party/psimd'
2025-08-26T20:09:36.4824010Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:36.4880512Z Entering 'third_party/pybind11'
2025-08-26T20:09:36.4934215Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:36.4987629Z Entering 'third_party/sleef'
2025-08-26T20:09:36.5048840Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:36.5105468Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:36.5163130Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:36.5216149Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:36.5270359Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:36.5323758Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:36.5395292Z [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"
2025-08-26T20:09:36.5722068Z Entering 'android/libs/fbjni'
2025-08-26T20:09:36.5774584Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-26T20:09:36.5790231Z Entering 'third_party/FP16'
2025-08-26T20:09:36.5847026Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-26T20:09:36.5866572Z Entering 'third_party/FXdiv'
2025-08-26T20:09:36.5918599Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-26T20:09:36.5939220Z Entering 'third_party/NNPACK'
2025-08-26T20:09:36.5987019Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-26T20:09:36.6006199Z Entering 'third_party/NVTX'
2025-08-26T20:09:36.6054596Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-08-26T20:09:36.6072040Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:36.6123654Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-08-26T20:09:36.6139321Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:36.6187135Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-26T20:09:36.6215999Z Entering 'third_party/aiter'
2025-08-26T20:09:36.6265661Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-26T20:09:36.6284149Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:36.6336075Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-26T20:09:36.6360943Z Entering 'third_party/benchmark'
2025-08-26T20:09:36.6408496Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T20:09:36.6425313Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:36.6478717Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-08-26T20:09:36.6501599Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:36.6556242Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-08-26T20:09:36.6575272Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:36.6625632Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-08-26T20:09:36.6643075Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:36.6691606Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-08-26T20:09:36.6707759Z Entering 'third_party/cutlass'
2025-08-26T20:09:36.6759261Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-26T20:09:36.6784058Z Entering 'third_party/fbgemm'
2025-08-26T20:09:36.6839624Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-08-26T20:09:36.6857011Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:36.6905143Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-08-26T20:09:36.6925851Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:36.6972579Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-08-26T20:09:36.6994148Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:36.7045767Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-08-26T20:09:36.7065795Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:36.7112522Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-08-26T20:09:36.7141762Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:36.7186153Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-08-26T20:09:36.7202466Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:36.7257459Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-08-26T20:09:36.7269505Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:36.7322801Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-08-26T20:09:36.7337803Z Entering 'third_party/flash-attention'
2025-08-26T20:09:36.7391793Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-08-26T20:09:36.7407226Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:36.7460675Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-08-26T20:09:36.7479645Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:36.7533674Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-08-26T20:09:36.7556629Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:36.7605126Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-08-26T20:09:36.7624828Z Entering 'third_party/fmt'
2025-08-26T20:09:36.7676133Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-08-26T20:09:36.7695811Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:36.7743726Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-08-26T20:09:36.7766227Z Entering 'third_party/gloo'
2025-08-26T20:09:36.7816523Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-08-26T20:09:36.7842827Z Entering 'third_party/googletest'
2025-08-26T20:09:36.7891995Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-08-26T20:09:36.7907622Z Entering 'third_party/ideep'
2025-08-26T20:09:36.7960559Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
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2025-08-26T20:09:36.8105652Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
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2025-08-26T20:09:36.8182600Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
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2025-08-26T20:09:36.8659090Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
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2025-08-26T20:09:37.5626788Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:37.5667372Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:37.5722562Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-26T20:09:37.6032604Z Entering 'android/libs/fbjni'
2025-08-26T20:09:37.6076047Z Entering 'third_party/FP16'
2025-08-26T20:09:37.6117932Z Entering 'third_party/FXdiv'
2025-08-26T20:09:37.6161404Z Entering 'third_party/NNPACK'
2025-08-26T20:09:37.6202944Z Entering 'third_party/NVTX'
2025-08-26T20:09:37.6244882Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:37.6287274Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:37.6337909Z Entering 'third_party/aiter'
2025-08-26T20:09:37.6380082Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:37.6428142Z Entering 'third_party/benchmark'
2025-08-26T20:09:37.6469305Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:37.6513967Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:37.6555527Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:37.6597308Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:37.6643912Z Entering 'third_party/cutlass'
2025-08-26T20:09:37.6692303Z Entering 'third_party/fbgemm'
2025-08-26T20:09:37.6738789Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:37.6777089Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:37.6822650Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:37.6862915Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:37.6909254Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:37.6949378Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:37.6992026Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:37.7040186Z Entering 'third_party/flash-attention'
2025-08-26T20:09:37.7083426Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:37.7128632Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:37.7176519Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:37.7224846Z Entering 'third_party/fmt'
2025-08-26T20:09:37.7266721Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:37.7307551Z Entering 'third_party/gloo'
2025-08-26T20:09:37.7347791Z Entering 'third_party/googletest'
2025-08-26T20:09:37.7391119Z Entering 'third_party/ideep'
2025-08-26T20:09:37.7436229Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:37.7484292Z Entering 'third_party/ittapi'
2025-08-26T20:09:37.7529335Z Entering 'third_party/kineto'
2025-08-26T20:09:37.7567098Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:37.7608038Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:37.7649022Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:37.7691249Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:37.7738077Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:37.7776360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:37.7816799Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:37.7858196Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:37.7896814Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:37.7942292Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:37.7988872Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:37.8028491Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:37.8072437Z Entering 'third_party/kleidiai'
2025-08-26T20:09:37.8113274Z Entering 'third_party/mimalloc'
2025-08-26T20:09:37.8158695Z Entering 'third_party/nlohmann'
2025-08-26T20:09:37.8199321Z Entering 'third_party/onnx'
2025-08-26T20:09:37.8257242Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:37.8302952Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:09:37.8346037Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:37.8386549Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:37.8427742Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:37.8467487Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:37.8508066Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:37.8548053Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:37.8588607Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:37.8627196Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:37.8669457Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:37.8713337Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:37.8777107Z Entering 'third_party/pocketfft'
2025-08-26T20:09:37.8815045Z Entering 'third_party/protobuf'
2025-08-26T20:09:37.8858918Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:37.8897822Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:37.8940718Z Entering 'third_party/psimd'
2025-08-26T20:09:37.8980647Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:37.9023946Z Entering 'third_party/pybind11'
2025-08-26T20:09:37.9065872Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:37.9107531Z Entering 'third_party/sleef'
2025-08-26T20:09:37.9153476Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:37.9191248Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:37.9236173Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:37.9278991Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:37.9321708Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:37.9361241Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:37.9417299Z ##[endgroup]
2025-08-26T20:09:37.9460630Z [command]/usr/bin/git log -1 --format=%H
2025-08-26T20:09:37.9480172Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:09:37.9646730Z Prepare all required actions
2025-08-26T20:09:37.9647251Z Getting action download info
2025-08-26T20:09:38.0925505Z ##[group]Run ./.github/actions/setup-linux
2025-08-26T20:09:38.0925748Z env:
2025-08-26T20:09:38.0925917Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:38.0926101Z ##[endgroup]
2025-08-26T20:09:38.0969082Z ##[group]Run set -euo pipefail
2025-08-26T20:09:38.0969360Z set -euo pipefail
2025-08-26T20:09:38.0969574Z function get_ec2_metadata() {
2025-08-26T20:09:38.0969829Z   # Pulled from instance metadata endpoint for EC2
2025-08-26T20:09:38.0970252Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-26T20:09:38.0970614Z   category=$1
2025-08-26T20:09:38.0970863Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-26T20:09:38.0971144Z   runner_name_str=i-0f84af936108d86dc
2025-08-26T20:09:38.0971458Z   if [[ -f /.inarc ]]; then
2025-08-26T20:09:38.0971704Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-26T20:09:38.0971960Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-26T20:09:38.0972269Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-26T20:09:38.0972542Z   else
2025-08-26T20:09:38.0973090Z     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}"
2025-08-26T20:09:38.0973626Z   fi
2025-08-26T20:09:38.0973780Z }
2025-08-26T20:09:38.0973974Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-26T20:09:38.0974261Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-26T20:09:38.0974575Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-26T20:09:38.0974843Z echo "system info $(uname -a)"
2025-08-26T20:09:38.0981764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:38.0982023Z env:
2025-08-26T20:09:38.0982189Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:38.0982368Z ##[endgroup]
2025-08-26T20:09:38.1134347Z ami-id: ami-05ffe3c48a9991133
2025-08-26T20:09:38.1237375Z instance-id: i-0f84af936108d86dc
2025-08-26T20:09:38.1350893Z instance-type: m7i-flex.8xlarge
2025-08-26T20:09:38.1362241Z system info Linux ip-10-0-48-98.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-26T20:09:38.1387591Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:09:38.1388219Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:09:38.1394996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:38.1395296Z env:
2025-08-26T20:09:38.1395458Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:38.1395651Z ##[endgroup]
2025-08-26T20:09:38.1447817Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-26T20:09:38.1448136Z if systemctl is-active --quiet docker; then
2025-08-26T20:09:38.1448400Z     echo "Docker daemon is running...";
2025-08-26T20:09:38.1448617Z else
2025-08-26T20:09:38.1448854Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-26T20:09:38.1449126Z fi
2025-08-26T20:09:38.1453532Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:38.1453786Z env:
2025-08-26T20:09:38.1453942Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:38.1454128Z ##[endgroup]
2025-08-26T20:09:38.1532317Z Docker daemon is running...
2025-08-26T20:09:38.1570158Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:09:38.1570386Z with:
2025-08-26T20:09:38.1570673Z   shell: bash
2025-08-26T20:09:38.1570964Z   timeout_minutes: 5
2025-08-26T20:09:38.1571145Z   max_attempts: 3
2025-08-26T20:09:38.1571320Z   retry_wait_seconds: 30
2025-08-26T20:09:38.1572804Z   command: AWS_ACCOUNT_ID=$(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

2025-08-26T20:09:38.1574240Z   polling_interval_seconds: 1
2025-08-26T20:09:38.1574453Z   warning_on_retry: true
2025-08-26T20:09:38.1574646Z   continue_on_error: false
2025-08-26T20:09:38.1574843Z env:
2025-08-26T20:09:38.1575000Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:38.1575194Z   AWS_RETRY_MODE: standard
2025-08-26T20:09:38.1575384Z   AWS_MAX_ATTEMPTS: 5
2025-08-26T20:09:38.1575578Z   AWS_DEFAULT_REGION: us-east-1
2025-08-26T20:09:38.1575774Z ##[endgroup]
2025-08-26T20:09:39.2497233Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:39.2497678Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:39.2498101Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:39.2498358Z 
2025-08-26T20:09:39.2498436Z Login Succeeded
2025-08-26T20:09:39.3196546Z Command completed after 1 attempt(s).
2025-08-26T20:09:39.3256254Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:39.3256625Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:39.3256923Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:39.3265086Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:39.3265342Z env:
2025-08-26T20:09:39.3265507Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:39.3265688Z ##[endgroup]
2025-08-26T20:09:39.3347493Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:09:39.3347882Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:09:39.3348172Z # shellcheck disable=SC2046
2025-08-26T20:09:39.3348410Z docker stop $(docker ps -q) || true
2025-08-26T20:09:39.3348640Z # Prune all of the docker images
2025-08-26T20:09:39.3348870Z docker system prune -af
2025-08-26T20:09:39.3353897Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:39.3354153Z env:
2025-08-26T20:09:39.3354309Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:39.3354500Z ##[endgroup]
2025-08-26T20:09:39.3874314Z "docker stop" requires at least 1 argument.
2025-08-26T20:09:39.3874658Z See 'docker stop --help'.
2025-08-26T20:09:39.3874852Z 
2025-08-26T20:09:39.3874975Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-26T20:09:39.3875160Z 
2025-08-26T20:09:39.3875255Z Stop one or more running containers
2025-08-26T20:09:39.4101660Z Total reclaimed space: 0B
2025-08-26T20:09:39.4136173Z ##[group]Run set +e
2025-08-26T20:09:39.4136413Z set +e
2025-08-26T20:09:39.4136586Z set -x
2025-08-26T20:09:39.4136750Z 
2025-08-26T20:09:39.4136932Z PT_DOMAIN=download.pytorch.org
2025-08-26T20:09:39.4137318Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-26T20:09:39.4137792Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-26T20:09:39.4138145Z # one is returned at random
2025-08-26T20:09:39.4138417Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-26T20:09:39.4138657Z 
2025-08-26T20:09:39.4139063Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:09:39.4139354Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-26T20:09:39.4139699Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-26T20:09:39.4139958Z 
2025-08-26T20:09:39.4140132Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:09:39.4140404Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-26T20:09:39.4140661Z     exit 1
2025-08-26T20:09:39.4140842Z   fi
2025-08-26T20:09:39.4141005Z fi
2025-08-26T20:09:39.4141170Z 
2025-08-26T20:09:39.4141369Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-26T20:09:39.4141633Z   # Clean up any old records first
2025-08-26T20:09:39.4141881Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-26T20:09:39.4142114Z fi
2025-08-26T20:09:39.4142273Z 
2025-08-26T20:09:39.4142512Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-26T20:09:39.4142776Z cat /etc/hosts
2025-08-26T20:09:39.4148174Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:39.4148434Z env:
2025-08-26T20:09:39.4148607Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:39.4148787Z ##[endgroup]
2025-08-26T20:09:39.4179106Z + PT_DOMAIN=download.pytorch.org
2025-08-26T20:09:39.4183672Z ++ dig -4 +short download.pytorch.org
2025-08-26T20:09:39.4184347Z ++ tail -n1
2025-08-26T20:09:39.4613653Z + RESOLVED_IP=18.160.10.76
2025-08-26T20:09:39.4614716Z + '[' -z 18.160.10.76 ']'
2025-08-26T20:09:39.4615015Z + grep -r download.pytorch.org /etc/hosts
2025-08-26T20:09:39.4626880Z + echo '18.160.10.76 download.pytorch.org'
2025-08-26T20:09:39.4627531Z + sudo tee -a /etc/hosts
2025-08-26T20:09:39.6985425Z 18.160.10.76 download.pytorch.org
2025-08-26T20:09:39.7002366Z + cat /etc/hosts
2025-08-26T20:09:39.7011434Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-26T20:09:39.7017665Z ::1         localhost6 localhost6.localdomain6
2025-08-26T20:09:39.7017972Z 18.160.10.76 download.pytorch.org
2025-08-26T20:09:39.7144014Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-26T20:09:39.7144363Z with:
2025-08-26T20:09:39.7144975Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:39.7145637Z   use-custom-docker-registry: true
2025-08-26T20:09:39.7145892Z   docker-build-dir: .ci/docker
2025-08-26T20:09:39.7146126Z   docker-build-script: ./build.sh
2025-08-26T20:09:39.7146357Z   working-directory: .
2025-08-26T20:09:39.7146632Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:39.7146924Z   force-push: false
2025-08-26T20:09:39.7147117Z env:
2025-08-26T20:09:39.7147303Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:39.7147522Z ##[endgroup]
2025-08-26T20:09:39.7171142Z ##[group]Run set -ex
2025-08-26T20:09:39.7171389Z set -ex
2025-08-26T20:09:39.7171554Z 
2025-08-26T20:09:39.7171875Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-26T20:09:39.7172294Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-26T20:09:39.7172688Z # job could then download the pre-built image as usual
2025-08-26T20:09:39.7173208Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-26T20:09:39.7173670Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7173919Z else
2025-08-26T20:09:39.7174131Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7174459Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7174757Z 
2025-08-26T20:09:39.7175295Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-26T20:09:39.7175738Z   exit 0
2025-08-26T20:09:39.7175917Z fi
2025-08-26T20:09:39.7176097Z 
2025-08-26T20:09:39.7176376Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-26T20:09:39.7176818Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-26T20:09:39.7177222Z   # use it as it is, but first let's extract the tag
2025-08-26T20:09:39.7177589Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-26T20:09:39.7177924Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7178234Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7178497Z else
2025-08-26T20:09:39.7178695Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-26T20:09:39.7178986Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-26T20:09:39.7179284Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-26T20:09:39.7179537Z   fi
2025-08-26T20:09:39.7179869Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-26T20:09:39.7180290Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7180750Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7181253Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7181571Z fi
2025-08-26T20:09:39.7188156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:39.7188465Z env:
2025-08-26T20:09:39.7188665Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:39.7188893Z   REPO_NAME: pytorch
2025-08-26T20:09:39.7189741Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:39.7190443Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:09:39.7190685Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-26T20:09:39.7191001Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:39.7191325Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-26T20:09:39.7191568Z   CUSTOM_TAG_PREFIX: 
2025-08-26T20:09:39.7191770Z ##[endgroup]
2025-08-26T20:09:39.7220766Z + [[ -d .ci/docker ]]
2025-08-26T20:09:39.7221022Z + [[ -f .ci/docker/./build.sh ]]
2025-08-26T20:09:39.7221238Z + [[ true == \t\r\u\e ]]
2025-08-26T20:09:39.7221422Z + echo skip=false
2025-08-26T20:09:39.7222171Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 == *\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* ]]
2025-08-26T20:09:39.7227527Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:39.7228135Z ++ awk -F '[:,]' '{print $2}'
2025-08-26T20:09:39.7249058Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:39.7249746Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:39.7250594Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:39.7274981Z ##[group]Run set +e
2025-08-26T20:09:39.7275221Z set +e
2025-08-26T20:09:39.7275393Z set -x
2025-08-26T20:09:39.7275555Z 
2025-08-26T20:09:39.7275704Z login() {
2025-08-26T20:09:39.7276163Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:09:39.7276553Z }
2025-08-26T20:09:39.7276709Z 
2025-08-26T20:09:39.7276856Z retry () {
2025-08-26T20:09:39.7277056Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:09:39.7277274Z }
2025-08-26T20:09:39.7277428Z 
2025-08-26T20:09:39.7277589Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:09:39.7277799Z 
2025-08-26T20:09:39.7277958Z START_TIME=$(date +%s)
2025-08-26T20:09:39.7278178Z # Wait up to 120 minutes
2025-08-26T20:09:39.7278459Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-26T20:09:39.7278781Z   # Check if image already exists, if it does then skip building it
2025-08-26T20:09:39.7279108Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-26T20:09:39.7279352Z     exit 0
2025-08-26T20:09:39.7279552Z   fi
2025-08-26T20:09:39.7279700Z 
2025-08-26T20:09:39.7279960Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-26T20:09:39.7280377Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-26T20:09:39.7280792Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-26T20:09:39.7281137Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-26T20:09:39.7281402Z     # It's a Docker build job, let's build the image
2025-08-26T20:09:39.7281634Z     break
2025-08-26T20:09:39.7281806Z   else
2025-08-26T20:09:39.7282045Z     # It's a regular build job, wait for the image to become available
2025-08-26T20:09:39.7282308Z     sleep 300
2025-08-26T20:09:39.7282496Z   fi
2025-08-26T20:09:39.7282650Z done
2025-08-26T20:09:39.7282803Z 
2025-08-26T20:09:39.7283032Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-26T20:09:39.7283486Z # be empty.  The default action would be to continue rebuild the image
2025-08-26T20:09:39.7283833Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-26T20:09:39.7284128Z   # if we're on the base branch then use the parent commit
2025-08-26T20:09:39.7284390Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-26T20:09:39.7284588Z else
2025-08-26T20:09:39.7284809Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-26T20:09:39.7285114Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-26T20:09:39.7285347Z fi
2025-08-26T20:09:39.7285490Z 
2025-08-26T20:09:39.7285656Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-26T20:09:39.7285893Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7286110Z 
2025-08-26T20:09:39.7286407Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-26T20:09:39.7286755Z   exit 0
2025-08-26T20:09:39.7286917Z fi
2025-08-26T20:09:39.7287078Z 
2025-08-26T20:09:39.7287285Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-26T20:09:39.7287693Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-26T20:09:39.7288046Z   exit 1
2025-08-26T20:09:39.7288201Z fi
2025-08-26T20:09:39.7288351Z 
2025-08-26T20:09:39.7288591Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-26T20:09:39.7289008Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-26T20:09:39.7289383Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-26T20:09:39.7289873Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-26T20:09:39.7290350Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-26T20:09:39.7290634Z fi
2025-08-26T20:09:39.7290788Z 
2025-08-26T20:09:39.7290968Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:39.7296564Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:39.7296822Z env:
2025-08-26T20:09:39.7296991Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:39.7297193Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:09:39.7297433Z   BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:09:39.7298062Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:39.7298839Z   DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:39.7299318Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:39.7299580Z   DOCKER_PUSH: 
2025-08-26T20:09:39.7299743Z ##[endgroup]
2025-08-26T20:09:39.7321912Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:39.7322253Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:39.7327366Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:39.7327760Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:09:40.1936952Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:40.1937343Z Login Succeeded
2025-08-26T20:09:40.1937585Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:40.1938044Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:40.1938337Z 
2025-08-26T20:09:40.1956619Z ++ date +%s
2025-08-26T20:09:40.1966927Z + START_TIME=1756238980
2025-08-26T20:09:40.1970175Z ++ date +%s
2025-08-26T20:09:40.1979946Z + [[ 1756231780 -lt 1756238980 ]]
2025-08-26T20:09:40.1980630Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:40.4497549Z {
2025-08-26T20:09:40.4497846Z 	"schemaVersion": 2,
2025-08-26T20:09:40.4498175Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-26T20:09:40.4498505Z 	"config": {
2025-08-26T20:09:40.4498752Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-26T20:09:40.4499034Z 		"size": 30011,
2025-08-26T20:09:40.4499325Z 		"digest": "sha256:932da535a977ab0b0008738bb22f52295068c34f7c3dedec486c588f4545c297"
2025-08-26T20:09:40.4499644Z 	},
2025-08-26T20:09:40.4499791Z 	"layers": [
2025-08-26T20:09:40.4499943Z 		{
2025-08-26T20:09:40.4500210Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4500500Z 			"size": 30448173,
2025-08-26T20:09:40.4500828Z 			"digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495"
2025-08-26T20:09:40.4501160Z 		},
2025-08-26T20:09:40.4501299Z 		{
2025-08-26T20:09:40.4501534Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4501812Z 			"size": 1553,
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2025-08-26T20:09:40.4502426Z 		},
2025-08-26T20:09:40.4502556Z 		{
2025-08-26T20:09:40.4502789Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4503070Z 			"size": 314206045,
2025-08-26T20:09:40.4503383Z 			"digest": "sha256:9c55cec78f8406fa713d2fc186d15d0715894b44b0f44c5405e0b0063a3f0b35"
2025-08-26T20:09:40.4503681Z 		},
2025-08-26T20:09:40.4503817Z 		{
2025-08-26T20:09:40.4504045Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4504689Z 			"size": 791,
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2025-08-26T20:09:40.4505288Z 		},
2025-08-26T20:09:40.4505423Z 		{
2025-08-26T20:09:40.4505641Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4505914Z 			"size": 106,
2025-08-26T20:09:40.4506201Z 			"digest": "sha256:aafdf104ff63b060f0439c67965849e39ee9201be5223ae1f47d0ebb26c3b325"
2025-08-26T20:09:40.4506516Z 		},
2025-08-26T20:09:40.4506654Z 		{
2025-08-26T20:09:40.4506888Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4507156Z 			"size": 703,
2025-08-26T20:09:40.4507421Z 			"digest": "sha256:82c8895e8a78ab52a51c545848284071a28cc32bea40e6fdfb13397379736b4a"
2025-08-26T20:09:40.4507806Z 		},
2025-08-26T20:09:40.4507931Z 		{
2025-08-26T20:09:40.4508146Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4508429Z 			"size": 1218,
2025-08-26T20:09:40.4508706Z 			"digest": "sha256:0f8cef21ed4173eec4d4181571521b7800b00cf43ce0ca11e9c9fe88d35f579a"
2025-08-26T20:09:40.4509005Z 		},
2025-08-26T20:09:40.4509137Z 		{
2025-08-26T20:09:40.4509353Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4509631Z 			"size": 485,
2025-08-26T20:09:40.4509895Z 			"digest": "sha256:23a46894eb0acedf8723b47155c8b47190e9518f68cdacc3b98cbf44adb6d567"
2025-08-26T20:09:40.4510211Z 		},
2025-08-26T20:09:40.4510348Z 		{
2025-08-26T20:09:40.4510570Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4510851Z 			"size": 110343865,
2025-08-26T20:09:40.4511146Z 			"digest": "sha256:71763536b7fe8d33e2a4a8ca5d37e9398128db4909b9df72878dfaa11e5fc01c"
2025-08-26T20:09:40.4511462Z 		},
2025-08-26T20:09:40.4511595Z 		{
2025-08-26T20:09:40.4511903Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4512195Z 			"size": 4788,
2025-08-26T20:09:40.4512492Z 			"digest": "sha256:2d20cafec487317b3f84d0dafee9ba5dfac753ffd39b33da488c28bbe5f49e11"
2025-08-26T20:09:40.4513258Z 		},
2025-08-26T20:09:40.4513411Z 		{
2025-08-26T20:09:40.4513628Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4513925Z 			"size": 1709,
2025-08-26T20:09:40.4514190Z 			"digest": "sha256:24343f5bbf5c9b05649870203050524a23cf8203b02ed938517d81427cfba66f"
2025-08-26T20:09:40.4514687Z 		},
2025-08-26T20:09:40.4514849Z 		{
2025-08-26T20:09:40.4515082Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4515353Z 			"size": 724,
2025-08-26T20:09:40.4515640Z 			"digest": "sha256:13e40e4a2eab659a96b75462cbf452eb8f13dccf5ab0ff09302a846bd5543ddf"
2025-08-26T20:09:40.4515971Z 		},
2025-08-26T20:09:40.4516101Z 		{
2025-08-26T20:09:40.4516324Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4516622Z 			"size": 544,
2025-08-26T20:09:40.4516895Z 			"digest": "sha256:f6116ea55ac16326cfa791b3966b4545df025e8766eff08811885d86b5c7aed3"
2025-08-26T20:09:40.4517237Z 		},
2025-08-26T20:09:40.4517374Z 		{
2025-08-26T20:09:40.4517592Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4517868Z 			"size": 3392839691,
2025-08-26T20:09:40.4518168Z 			"digest": "sha256:734ff9c3d9c1b471933cb23484266c74d0f6f14bca5d0ea678a2af748168df48"
2025-08-26T20:09:40.4518481Z 		},
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2025-08-26T20:09:40.4571319Z 			"size": 136,
2025-08-26T20:09:40.4571566Z 			"digest": "sha256:7efd21765c9f354e41a6820f89addc3ce5a16766a203740a389ac5e9ce80d6fc"
2025-08-26T20:09:40.4571843Z 		},
2025-08-26T20:09:40.4571966Z 		{
2025-08-26T20:09:40.4572159Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4572402Z 			"size": 380,
2025-08-26T20:09:40.4572657Z 			"digest": "sha256:47eb26c12113434e1c0cf8da7273e9040511b9884eccf4a3dcbea2d5249a023d"
2025-08-26T20:09:40.4572929Z 		},
2025-08-26T20:09:40.4573048Z 		{
2025-08-26T20:09:40.4573293Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4573541Z 			"size": 32,
2025-08-26T20:09:40.4573792Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:40.4574060Z 		},
2025-08-26T20:09:40.4574187Z 		{
2025-08-26T20:09:40.4574387Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4574628Z 			"size": 104,
2025-08-26T20:09:40.4574867Z 			"digest": "sha256:27c4d270ca26645b622a0d54fe5017b1e9885c1fc8798cc40732d4cd3520b3d7"
2025-08-26T20:09:40.4575136Z 		},
2025-08-26T20:09:40.4575265Z 		{
2025-08-26T20:09:40.4575466Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4575714Z 			"size": 407,
2025-08-26T20:09:40.4575981Z 			"digest": "sha256:4bc6ef31bd523602cfd4f80f47fe9cf84cf74986fce29a393c69a2008ee3c78f"
2025-08-26T20:09:40.4576280Z 		},
2025-08-26T20:09:40.4576404Z 		{
2025-08-26T20:09:40.4576598Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4576840Z 			"size": 32,
2025-08-26T20:09:40.4577089Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:40.4577364Z 		},
2025-08-26T20:09:40.4577482Z 		{
2025-08-26T20:09:40.4577682Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4577924Z 			"size": 109,
2025-08-26T20:09:40.4578182Z 			"digest": "sha256:5ce18bf5b45dbcad8afcd0fde76d5d0a674d53e510d99cceff0587e6b948e52e"
2025-08-26T20:09:40.4578459Z 		},
2025-08-26T20:09:40.4578588Z 		{
2025-08-26T20:09:40.4578787Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4579030Z 			"size": 1896,
2025-08-26T20:09:40.4579283Z 			"digest": "sha256:285c81af4b9d0b1429be21e8a67cdb35d3b2ce9652ba5bd3e7b4fe003b1da902"
2025-08-26T20:09:40.4579610Z 		},
2025-08-26T20:09:40.4579738Z 		{
2025-08-26T20:09:40.4579956Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4580212Z 			"size": 242997127,
2025-08-26T20:09:40.4580498Z 			"digest": "sha256:bb07dd0d561f2f9bd5c780aefc22a73058368931be47e4e3af1a539c4d267ae2"
2025-08-26T20:09:40.4580802Z 		},
2025-08-26T20:09:40.4580936Z 		{
2025-08-26T20:09:40.4581144Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4581406Z 			"size": 106,
2025-08-26T20:09:40.4581679Z 			"digest": "sha256:50a5a3b68ee3894de8898a04c6a4bfdd0ac1859da95b5a8ceab7ccb6a9a620da"
2025-08-26T20:09:40.4581986Z 		},
2025-08-26T20:09:40.4582114Z 		{
2025-08-26T20:09:40.4582326Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4582594Z 			"size": 164,
2025-08-26T20:09:40.4582862Z 			"digest": "sha256:79eecebd063f6be16d85070bb148f969679d1d8df9c0dee228e3595118fcd6f0"
2025-08-26T20:09:40.4583163Z 		},
2025-08-26T20:09:40.4583300Z 		{
2025-08-26T20:09:40.4583513Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4583775Z 			"size": 7943,
2025-08-26T20:09:40.4584037Z 			"digest": "sha256:1d221336b6cfad31c20882c181f430a4282a12a9be9028b5bd8280aadca44c42"
2025-08-26T20:09:40.4584337Z 		},
2025-08-26T20:09:40.4584470Z 		{
2025-08-26T20:09:40.4584680Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4584942Z 			"size": 8077,
2025-08-26T20:09:40.4585210Z 			"digest": "sha256:bb9b1ab32155a02a0f4cd73062f3e3f649e281a8439037f7b94cc6df74dc4fba"
2025-08-26T20:09:40.4585507Z 		},
2025-08-26T20:09:40.4585638Z 		{
2025-08-26T20:09:40.4585841Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4586098Z 			"size": 303,
2025-08-26T20:09:40.4586367Z 			"digest": "sha256:0867b7fa637cd840cab46ab9d0f60674db13df921cabda8599405045604f5b2d"
2025-08-26T20:09:40.4586667Z 		},
2025-08-26T20:09:40.4586792Z 		{
2025-08-26T20:09:40.4587009Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4587278Z 			"size": 32,
2025-08-26T20:09:40.4587591Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:40.4587883Z 		},
2025-08-26T20:09:40.4588014Z 		{
2025-08-26T20:09:40.4588222Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4588490Z 			"size": 108,
2025-08-26T20:09:40.4588755Z 			"digest": "sha256:0edddbef40dd990542474976dcfe8db6dca1fee30e5d623ff3c442b93de5a701"
2025-08-26T20:09:40.4589067Z 		},
2025-08-26T20:09:40.4589202Z 		{
2025-08-26T20:09:40.4589417Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4589680Z 			"size": 54145663,
2025-08-26T20:09:40.4589970Z 			"digest": "sha256:bf05e37245a2b1f993edf59c7d829c700ba42dde0686edb2dc0b990fe7a97573"
2025-08-26T20:09:40.4590278Z 		},
2025-08-26T20:09:40.4590413Z 		{
2025-08-26T20:09:40.4590627Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:40.4590898Z 			"size": 32,
2025-08-26T20:09:40.4591178Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:40.4591480Z 		}
2025-08-26T20:09:40.4591609Z 	]
2025-08-26T20:09:40.4591750Z }
2025-08-26T20:09:40.4591912Z + exit 0
2025-08-26T20:09:40.4617715Z ##[group]Run set -eux
2025-08-26T20:09:40.4617959Z set -eux
2025-08-26T20:09:40.4618241Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-08-26T20:09:40.4618946Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true
2025-08-26T20:09:40.4625590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:40.4625849Z env:
2025-08-26T20:09:40.4626015Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:40.4626190Z ##[endgroup]
2025-08-26T20:09:40.4651641Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-26T20:09:40.4654129Z + jq --raw-output .SecretString
2025-08-26T20:09:40.4655099Z + jq -r .docker_hub_readonly_token
2025-08-26T20:09:40.4655517Z + docker login --username pytorchbot --password-stdin
2025-08-26T20:09:40.9712082Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:40.9712523Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:40.9713225Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:40.9713490Z 
2025-08-26T20:09:40.9713568Z Login Succeeded
2025-08-26T20:09:40.9791412Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:09:40.9791690Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:09:40.9791966Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-26T20:09:40.9797161Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:40.9797433Z env:
2025-08-26T20:09:40.9797599Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:40.9798178Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:40.9798745Z ##[endgroup]
2025-08-26T20:09:40.9827544Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:40.9868490Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-26T20:09:40.9868823Z with:
2025-08-26T20:09:40.9869440Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:40.9870191Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:40.9870501Z env:
2025-08-26T20:09:40.9870689Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:40.9870922Z ##[endgroup]
2025-08-26T20:09:40.9889796Z ##[group]Run set -x
2025-08-26T20:09:40.9890011Z set -x
2025-08-26T20:09:40.9890178Z set +e
2025-08-26T20:09:40.9890338Z 
2025-08-26T20:09:40.9890486Z login() {
2025-08-26T20:09:40.9890817Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:09:40.9891201Z }
2025-08-26T20:09:40.9891352Z 
2025-08-26T20:09:40.9891547Z retry () {
2025-08-26T20:09:40.9891741Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:09:40.9891947Z }
2025-08-26T20:09:40.9892091Z 
2025-08-26T20:09:40.9892254Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:09:40.9892458Z 
2025-08-26T20:09:40.9892773Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-26T20:09:40.9893201Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-26T20:09:40.9893616Z 
2025-08-26T20:09:40.9893767Z set -e
2025-08-26T20:09:40.9893995Z # ignore output since only exit code is used for conditional
2025-08-26T20:09:40.9894324Z # only pull docker image if it's not available locally
2025-08-26T20:09:40.9894680Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-26T20:09:40.9895010Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-26T20:09:40.9895228Z fi
2025-08-26T20:09:40.9899504Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:40.9899759Z env:
2025-08-26T20:09:40.9899924Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:40.9900502Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:40.9901137Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:40.9901531Z ##[endgroup]
2025-08-26T20:09:40.9925216Z + set +e
2025-08-26T20:09:40.9925801Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:40.9926101Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:40.9926399Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:09:40.9926754Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:41.4438134Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:41.4438598Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:41.4438994Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:41.4439250Z 
2025-08-26T20:09:41.4439326Z Login Succeeded
2025-08-26T20:09:41.4467418Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:41.4468156Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-26T20:09:41.6405885Z + IMAGE_SIZE=28511.53002166748
2025-08-26T20:09:41.6406213Z + echo 'Compressed size of image in MB: 28511.53002166748'
2025-08-26T20:09:41.6406495Z + set -e
2025-08-26T20:09:41.6407585Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:41.6408235Z Compressed size of image in MB: 28511.53002166748
2025-08-26T20:09:41.6538223Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:41.6539241Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:41.8798283Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image
2025-08-26T20:09:41.8802650Z 660ffc76f83b: Pulling fs layer
2025-08-26T20:09:41.8806338Z 4d54b123ef9d: Pulling fs layer
2025-08-26T20:09:41.8806614Z 9c55cec78f84: Pulling fs layer
2025-08-26T20:09:41.8806845Z 9bc7d79f3fbb: Pulling fs layer
2025-08-26T20:09:41.8807052Z aafdf104ff63: Pulling fs layer
2025-08-26T20:09:41.8807252Z 82c8895e8a78: Pulling fs layer
2025-08-26T20:09:41.8807469Z 0f8cef21ed41: Pulling fs layer
2025-08-26T20:09:41.8807666Z 23a46894eb0a: Pulling fs layer
2025-08-26T20:09:41.8807860Z 71763536b7fe: Pulling fs layer
2025-08-26T20:09:41.8808045Z 2d20cafec487: Pulling fs layer
2025-08-26T20:09:41.8808248Z 24343f5bbf5c: Pulling fs layer
2025-08-26T20:09:41.8808436Z 13e40e4a2eab: Pulling fs layer
2025-08-26T20:09:41.8808631Z f6116ea55ac1: Pulling fs layer
2025-08-26T20:09:41.8808824Z 734ff9c3d9c1: Pulling fs layer
2025-08-26T20:09:41.8809024Z 4f4fb700ef54: Pulling fs layer
2025-08-26T20:09:41.8809217Z 7962f79fd05c: Pulling fs layer
2025-08-26T20:09:41.8809436Z 38d0e1be877e: Pulling fs layer
2025-08-26T20:09:41.8809622Z 950bd866dd78: Pulling fs layer
2025-08-26T20:09:41.8809801Z 6795befe89ab: Pulling fs layer
2025-08-26T20:09:41.8809989Z e7d56d45e721: Pulling fs layer
2025-08-26T20:09:41.8810175Z 01f006747b5d: Pulling fs layer
2025-08-26T20:09:41.8810358Z c507b40a0297: Pulling fs layer
2025-08-26T20:09:41.8810536Z 4e1b4afdbeea: Pulling fs layer
2025-08-26T20:09:41.8810730Z b64445d67ed1: Pulling fs layer
2025-08-26T20:09:41.8810916Z f48ac6c01ba8: Pulling fs layer
2025-08-26T20:09:41.8811104Z b9fb5bb58157: Pulling fs layer
2025-08-26T20:09:41.8811291Z f593871a9673: Pulling fs layer
2025-08-26T20:09:41.8811475Z 7320abfeca74: Pulling fs layer
2025-08-26T20:09:41.8811659Z d35702d52345: Pulling fs layer
2025-08-26T20:09:41.8811843Z 1e9e58db0ee6: Pulling fs layer
2025-08-26T20:09:41.8812020Z 425283ca33f4: Pulling fs layer
2025-08-26T20:09:41.8812264Z 009019a99c9c: Pulling fs layer
2025-08-26T20:09:41.8812715Z 2fd6dfbf1697: Pulling fs layer
2025-08-26T20:09:41.8812915Z fd1110e8b53e: Pulling fs layer
2025-08-26T20:09:41.8813101Z fbdbed5f2550: Pulling fs layer
2025-08-26T20:09:41.8813295Z e9de589665ef: Pulling fs layer
2025-08-26T20:09:41.8813487Z 43d965cdf5c8: Pulling fs layer
2025-08-26T20:09:41.8813681Z c87e96cbf6b3: Pulling fs layer
2025-08-26T20:09:41.8813880Z 6cefe6cfb1b5: Pulling fs layer
2025-08-26T20:09:41.8814067Z 479676d38bf2: Pulling fs layer
2025-08-26T20:09:41.8814254Z 67c58b456bc9: Pulling fs layer
2025-08-26T20:09:41.8814672Z 308a33031a2e: Pulling fs layer
2025-08-26T20:09:41.8814966Z 3e9dbc095217: Pulling fs layer
2025-08-26T20:09:41.8815175Z 469773c071e5: Pulling fs layer
2025-08-26T20:09:41.8815385Z ec16a4f2a115: Pulling fs layer
2025-08-26T20:09:41.8815611Z 01968fc26419: Pulling fs layer
2025-08-26T20:09:41.8815801Z 1b890f6e6c94: Pulling fs layer
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2025-08-26T20:19:08.2354104Z Digest: sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c
2025-08-26T20:19:08.3167926Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:19:08.3615828Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:19:08.3677681Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:19:08.3678284Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:19:08.3686919Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:08.3687182Z env:
2025-08-26T20:19:08.3687351Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:08.3687707Z ##[endgroup]
2025-08-26T20:19:08.3764682Z Prepare all required actions
2025-08-26T20:19:08.4007212Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-26T20:19:08.4007457Z with:
2025-08-26T20:19:08.4008059Z   github-token: ***
2025-08-26T20:19:08.4008228Z env:
2025-08-26T20:19:08.4008388Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:08.4008572Z ##[endgroup]
2025-08-26T20:19:08.4154383Z ##[group]Run set -eux
2025-08-26T20:19:08.4154709Z set -eux
2025-08-26T20:19:08.4155031Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T20:19:08.4161321Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:08.4161582Z env:
2025-08-26T20:19:08.4161753Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:08.4162149Z   GITHUB_TOKEN: ***
2025-08-26T20:19:08.4162324Z ##[endgroup]
2025-08-26T20:19:08.4186787Z + python3 .github/scripts/get_workflow_job_id.py 17248463670 i-0f84af936108d86dc
2025-08-26T20:19:09.3004706Z Setting output job-id=48946862593
2025-08-26T20:19:09.3009003Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:09.3265711Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:19:09.3266258Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:19:09.3266902Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-26T20:19:09.3267453Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:19:09.3274064Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:09.3274323Z env:
2025-08-26T20:19:09.3274496Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:09.3274683Z   JOB_ID: 48946862593
2025-08-26T20:19:09.3275042Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:09.3275441Z   WORKFLOW_NAME: inductor
2025-08-26T20:19:09.3275636Z   WORKFLOW_RUN_ID: 17248463670
2025-08-26T20:19:09.3275859Z   MONITOR_LOG_INTERVAL: 5
2025-08-26T20:19:09.3276044Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-26T20:19:09.3276239Z ##[endgroup]
2025-08-26T20:19:10.0700576Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:19:10.3596568Z Collecting psutil==5.9.8
2025-08-26T20:19:10.3739656Z   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)
2025-08-26T20:19:10.4755220Z Collecting dataclasses_json==0.6.7
2025-08-26T20:19:10.4790109Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-26T20:19:10.5161785Z Collecting nvidia-ml-py==11.525.84
2025-08-26T20:19:10.5197410Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-26T20:19:10.6303810Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-26T20:19:10.6336409Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-26T20:19:10.6895367Z Collecting typing-inspect<1,>=0.4.0
2025-08-26T20:19:10.6929621Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-26T20:19:10.7958722Z Collecting packaging>=17.0
2025-08-26T20:19:10.7991526Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-26T20:19:10.8654449Z Collecting mypy-extensions>=0.3.0
2025-08-26T20:19:10.8688761Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-26T20:19:10.9615967Z Collecting typing-extensions>=3.7.4
2025-08-26T20:19:10.9659049Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-08-26T20:19:11.1350729Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-26T20:19:12.0340089Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0
2025-08-26T20:19:12.3206984Z Prepare all required actions
2025-08-26T20:19:12.3207342Z Getting action download info
2025-08-26T20:19:12.4756680Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-26T20:19:13.4606808Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-26T20:19:16.5336050Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-26T20:19:16.5336361Z with:
2025-08-26T20:19:16.5336583Z   name: linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:16.5336844Z   s3-bucket: gha-artifacts
2025-08-26T20:19:16.5337067Z env:
2025-08-26T20:19:16.5337252Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:16.5337468Z ##[endgroup]
2025-08-26T20:19:16.5380289Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:19:16.5380580Z with:
2025-08-26T20:19:16.5380787Z   name: linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:16.5381063Z   s3-bucket: gha-artifacts
2025-08-26T20:19:16.5381325Z   region: us-east-1
2025-08-26T20:19:16.5381505Z env:
2025-08-26T20:19:16.5381685Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:16.5381899Z ##[endgroup]
2025-08-26T20:19:17.2920001Z (node:48507) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:19:17.2920559Z 
2025-08-26T20:19:17.2920932Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:19:17.2921314Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:19:17.2921892Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:19:18.2380439Z Found 1 objects with prefix pytorch/pytorch/17248463670/linux-jammy-py3.9-gcc11-build/
2025-08-26T20:19:18.2381170Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:19:22.8446600Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:19:22.8450855Z Artifact download has finished successfully
2025-08-26T20:19:22.8663051Z ##[group]Run unzip -o artifacts.zip
2025-08-26T20:19:22.8663308Z unzip -o artifacts.zip
2025-08-26T20:19:22.8668198Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:22.8668443Z env:
2025-08-26T20:19:22.8668608Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:22.8668795Z ##[endgroup]
2025-08-26T20:19:22.8740637Z Archive:  artifacts.zip
2025-08-26T20:19:22.8740878Z    creating: dist/
2025-08-26T20:19:24.0160866Z   inflating: dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:19:24.0161204Z    creating: dist/vision/
2025-08-26T20:19:24.0239462Z   inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:19:24.0239991Z    creating: dist/audio/
2025-08-26T20:19:24.0268686Z   inflating: dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:19:24.0269086Z    creating: dist/ao/
2025-08-26T20:19:24.0309058Z   inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl  
2025-08-26T20:19:24.0423214Z   inflating: dist/.ninja_log         
2025-08-26T20:19:24.0423514Z    creating: build/custom_test_artifacts/
2025-08-26T20:19:24.0423820Z    creating: build/custom_test_artifacts/custom-op-build/
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2025-08-26T20:19:24.0427069Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/
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2025-08-26T20:19:24.0646230Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/
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2025-08-26T20:19:24.0739068Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/progress.marks  
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2025-08-26T20:19:29.5007131Z   inflating: build/bin/scalar_test   
2025-08-26T20:19:29.5058583Z   inflating: build/bin/StorageUtils_test  
2025-08-26T20:19:29.5116406Z   inflating: build/bin/stride_properties_test  
2025-08-26T20:19:29.5202085Z   inflating: build/bin/tensor_iterator_test  
2025-08-26T20:19:29.5255172Z   inflating: build/bin/test_parallel  
2025-08-26T20:19:29.5308327Z   inflating: build/bin/thread_init_test  
2025-08-26T20:19:29.5369230Z   inflating: build/bin/type_ptr_test  
2025-08-26T20:19:29.5433335Z   inflating: build/bin/type_test     
2025-08-26T20:19:29.5491654Z   inflating: build/bin/undefined_tensor_test  
2025-08-26T20:19:29.5546025Z   inflating: build/bin/verify_api_visibility  
2025-08-26T20:19:29.5619976Z   inflating: build/bin/legacy_vmap_test  
2025-08-26T20:19:29.5673212Z   inflating: build/bin/weakref_test  
2025-08-26T20:19:29.5728720Z   inflating: build/bin/wrapdim_test  
2025-08-26T20:19:29.5787702Z   inflating: build/bin/xla_tensor_test  
2025-08-26T20:19:29.5848428Z   inflating: build/bin/IListRef_test  
2025-08-26T20:19:29.5958080Z   inflating: build/bin/List_test     
2025-08-26T20:19:29.6024931Z   inflating: build/bin/KernelFunction_test  
2025-08-26T20:19:29.6149303Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-26T20:19:29.6248838Z   inflating: build/bin/kernel_function_test  
2025-08-26T20:19:29.6373396Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-26T20:19:29.6479694Z   inflating: build/bin/kernel_lambda_test  
2025-08-26T20:19:29.6544819Z   inflating: build/bin/kernel_stackbased_test  
2025-08-26T20:19:29.6644966Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-26T20:19:29.6697538Z   inflating: build/bin/CppSignature_test  
2025-08-26T20:19:29.6759830Z   inflating: build/bin/backend_fallback_test  
2025-08-26T20:19:29.6811009Z   inflating: build/bin/op_allowlist_test  
2025-08-26T20:19:29.7119128Z   inflating: build/bin/op_registration_test  
2025-08-26T20:19:29.7186660Z   inflating: build/bin/inline_container_test  
2025-08-26T20:19:29.8259452Z   inflating: build/bin/test_jit      
2025-08-26T20:19:29.8313596Z   inflating: build/bin/BackoffTest   
2025-08-26T20:19:29.8369694Z   inflating: build/bin/FileStoreTest  
2025-08-26T20:19:29.8430903Z   inflating: build/bin/TCPStoreTest  
2025-08-26T20:19:29.8487587Z   inflating: build/bin/HashStoreTest  
2025-08-26T20:19:29.8857278Z   inflating: build/bin/test_nativert  
2025-08-26T20:19:29.8859131Z   inflating: build/bin/example_allreduce  
2025-08-26T20:19:29.8930324Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-26T20:19:29.8990258Z   inflating: build/bin/test_dist_autograd  
2025-08-26T20:19:29.9065995Z   inflating: build/bin/test_cpp_rpc  
2025-08-26T20:19:30.0157238Z   inflating: build/bin/test_api      
2025-08-26T20:19:30.0157606Z   inflating: build/bin/parallel_benchmark  
2025-08-26T20:19:30.0494344Z   inflating: build/bin/test_lazy     
2025-08-26T20:19:30.0495154Z   inflating: build/bin/torch_shm_manager  
2025-08-26T20:19:30.0495423Z    creating: .additional_ci_files/
2025-08-26T20:19:30.0574326Z   inflating: .additional_ci_files/test-times.json  
2025-08-26T20:19:30.0867912Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-26T20:19:30.0895574Z ##[group]Run rm artifacts.zip
2025-08-26T20:19:30.0895810Z rm artifacts.zip
2025-08-26T20:19:30.0900979Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:30.0901205Z env:
2025-08-26T20:19:30.0901360Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:30.0901531Z ##[endgroup]
2025-08-26T20:19:30.1744843Z ##[group]Run df -H
2025-08-26T20:19:30.1745048Z df -H
2025-08-26T20:19:30.1749944Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:30.1750231Z env:
2025-08-26T20:19:30.1750418Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:30.1750606Z ##[endgroup]
2025-08-26T20:19:30.1792212Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-26T20:19:30.1792521Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-26T20:19:30.1793086Z tmpfs              67G     0   67G   0% /dev/shm
2025-08-26T20:19:30.1793318Z tmpfs              27G  791k   27G   1% /run
2025-08-26T20:19:30.1793557Z /dev/nvme0n1p1    215G   70G  146G  33% /
2025-08-26T20:19:30.1793795Z tmpfs              67G   13k   67G   1% /tmp
2025-08-26T20:19:30.1794036Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-26T20:19:30.1823461Z Prepare all required actions
2025-08-26T20:19:30.1824475Z Getting action download info
2025-08-26T20:19:30.3765477Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-26T20:19:30.3765722Z with:
2025-08-26T20:19:30.3765873Z env:
2025-08-26T20:19:30.3766030Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:30.3766318Z ##[endgroup]
2025-08-26T20:19:30.3916737Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:19:30.3917005Z with:
2025-08-26T20:19:30.3917162Z   name: td_results
2025-08-26T20:19:30.3917342Z   s3-bucket: gha-artifacts
2025-08-26T20:19:30.3917539Z   region: us-east-1
2025-08-26T20:19:30.3917698Z env:
2025-08-26T20:19:30.3917857Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:30.3918041Z ##[endgroup]
2025-08-26T20:19:30.7490118Z (node:48530) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:19:30.7490699Z 
2025-08-26T20:19:30.7491383Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:19:30.7491812Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:19:30.7492178Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:19:30.8252318Z Found 0 objects with prefix pytorch/pytorch/17248463670/td_results/
2025-08-26T20:19:30.8257392Z Artifact download has finished successfully
2025-08-26T20:19:30.8624389Z ##[group]Run mkdir -p .additional_ci_files
2025-08-26T20:19:30.8624657Z mkdir -p .additional_ci_files
2025-08-26T20:19:30.8624937Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-26T20:19:30.8630567Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:30.8630823Z env:
2025-08-26T20:19:30.8630991Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:30.8631184Z ##[endgroup]
2025-08-26T20:19:30.8682326Z mv: cannot stat 'td_results.json': No such file or directory
2025-08-26T20:19:31.7823672Z ##[group]Run .github/scripts/parse_ref.py
2025-08-26T20:19:31.7823936Z .github/scripts/parse_ref.py
2025-08-26T20:19:31.7828635Z shell: /usr/bin/bash -e {0}
2025-08-26T20:19:31.7828835Z env:
2025-08-26T20:19:31.7829006Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:31.7829193Z ##[endgroup]
2025-08-26T20:19:31.8459100Z Setting output branch=main
2025-08-26T20:19:31.8554387Z Prepare all required actions
2025-08-26T20:19:31.8554768Z Getting action download info
2025-08-26T20:19:31.9882367Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-26T20:19:31.9882613Z with:
2025-08-26T20:19:31.9882985Z   github-token: ***
2025-08-26T20:19:31.9884625Z   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"}]}
2025-08-26T20:19:31.9886498Z   job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:31.9886884Z env:
2025-08-26T20:19:31.9887052Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:31.9887234Z ##[endgroup]
2025-08-26T20:19:32.0089138Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:19:32.0089373Z with:
2025-08-26T20:19:32.0089526Z   shell: bash
2025-08-26T20:19:32.0089691Z   timeout_minutes: 10
2025-08-26T20:19:32.0089867Z   max_attempts: 5
2025-08-26T20:19:32.0090040Z   retry_wait_seconds: 30
2025-08-26T20:19:32.0090557Z   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

2025-08-26T20:19:32.0091078Z   polling_interval_seconds: 1
2025-08-26T20:19:32.0091296Z   warning_on_retry: true
2025-08-26T20:19:32.0091608Z   continue_on_error: false
2025-08-26T20:19:32.0091792Z env:
2025-08-26T20:19:32.0091941Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:32.0092343Z   GITHUB_TOKEN: ***
2025-08-26T20:19:32.0092515Z ##[endgroup]
2025-08-26T20:19:32.2186932Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-26T20:19:32.4100696Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:19:32.5205610Z Collecting requests==2.27.1
2025-08-26T20:19:32.5353435Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-26T20:19:32.7376950Z Collecting pyyaml==6.0.2
2025-08-26T20:19:32.7411598Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-26T20:19:32.9300657Z Collecting certifi>=2017.4.17
2025-08-26T20:19:32.9357767Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-26T20:19:32.9990938Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-26T20:19:33.2972710Z Collecting charset-normalizer~=2.0.0
2025-08-26T20:19:33.3010412Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-26T20:19:33.3635382Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-26T20:19:33.4295424Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-26T20:19:33.8827956Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-26T20:19:34.0738680Z Command completed after 1 attempt(s).
2025-08-26T20:19:34.0801793Z ##[group]Run set -x
2025-08-26T20:19:34.0801998Z set -x
2025-08-26T20:19:34.0802161Z 
2025-08-26T20:19:34.0802420Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:19:34.0802735Z # in runner workspace
2025-08-26T20:19:34.0803147Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-26T20:19:34.0808202Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:34.0808463Z env:
2025-08-26T20:19:34.0808663Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:34.0808855Z ##[endgroup]
2025-08-26T20:19:34.0832522Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-26T20:19:34.0984072Z Setting output branch=main
2025-08-26T20:19:34.1059921Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:19:34.1060212Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:19:34.1060445Z echo "Job name: ${JOB_NAME}"
2025-08-26T20:19:34.1060648Z 
2025-08-26T20:19:34.1060897Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:19:34.1061210Z # in runner workspace
2025-08-26T20:19:34.1061518Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-26T20:19:34.1061834Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-26T20:19:34.1062072Z   --job-name "${JOB_NAME}" \
2025-08-26T20:19:34.1063776Z   --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"}]}" \
2025-08-26T20:19:34.1065587Z   --selected-test-configs "" \
2025-08-26T20:19:34.1065821Z   --pr-number "${PR_NUMBER}" \
2025-08-26T20:19:34.1066033Z   --tag "${TAG}" \
2025-08-26T20:19:34.1066249Z   --event-name "${EVENT_NAME}" \
2025-08-26T20:19:34.1066477Z   --schedule "${SCHEDULE}" \
2025-08-26T20:19:34.1066698Z   --branch "${HEAD_BRANCH}"
2025-08-26T20:19:34.1071770Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:34.1072032Z env:
2025-08-26T20:19:34.1072205Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:34.1072997Z   GITHUB_TOKEN: ***
2025-08-26T20:19:34.1073404Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:34.1073799Z   PR_NUMBER: 
2025-08-26T20:19:34.1073971Z   TAG: 
2025-08-26T20:19:34.1074128Z   EVENT_NAME: push
2025-08-26T20:19:34.1074301Z   SCHEDULE: 
2025-08-26T20:19:34.1074468Z   HEAD_BRANCH: main
2025-08-26T20:19:34.1074689Z ##[endgroup]
2025-08-26T20:19:34.1096587Z Workflow: inductor
2025-08-26T20:19:34.1097587Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:34.2877080Z Setting output keep-going=True
2025-08-26T20:19:34.2877430Z Setting output ci-verbose-test-logs=False
2025-08-26T20:19:34.2877707Z Setting output ci-test-showlocals=False
2025-08-26T20:19:34.2877973Z Setting output ci-no-test-timeout=False
2025-08-26T20:19:34.2878207Z Setting output ci-no-td=False
2025-08-26T20:19:34.2878446Z Setting output ci-td-distributed=False
2025-08-26T20:19:34.2878688Z Setting output is-unstable=False
2025-08-26T20:19:34.2878896Z Setting output reenabled-issues=
2025-08-26T20:19:34.2880991Z 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"}]}
2025-08-26T20:19:34.2882847Z Setting output is-test-matrix-empty=False
2025-08-26T20:19:34.3014956Z ##[group]Run echo "Filtered matrix:"
2025-08-26T20:19:34.3015223Z echo "Filtered matrix:"
2025-08-26T20:19:34.3016911Z 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"}]}"
2025-08-26T20:19:34.3018598Z 
2025-08-26T20:19:34.3018754Z echo
2025-08-26T20:19:34.3018948Z echo "Is the current job unstable? False"
2025-08-26T20:19:34.3019179Z 
2025-08-26T20:19:34.3019332Z echo
2025-08-26T20:19:34.3019524Z echo "Is keep-going label set? True"
2025-08-26T20:19:34.3019869Z 
2025-08-26T20:19:34.3020020Z echo
2025-08-26T20:19:34.3020194Z echo "Reenabled issues? "
2025-08-26T20:19:34.3025153Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:34.3025409Z env:
2025-08-26T20:19:34.3025610Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:34.3025810Z ##[endgroup]
2025-08-26T20:19:34.3051708Z Filtered matrix:
2025-08-26T20:19:34.3053430Z {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}]}
2025-08-26T20:19:34.3055029Z 
2025-08-26T20:19:34.3055119Z Is the current job unstable? False
2025-08-26T20:19:34.3055266Z 
2025-08-26T20:19:34.3055448Z Is keep-going label set? True
2025-08-26T20:19:34.3055661Z 
2025-08-26T20:19:34.3055760Z Reenabled issues? 
2025-08-26T20:19:34.3097198Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:19:34.3097573Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:19:34.3102217Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:34.3102475Z env:
2025-08-26T20:19:34.3102643Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:34.3102832Z   JOB_TIMEOUT: 240
2025-08-26T20:19:34.3102996Z ##[endgroup]
2025-08-26T20:19:34.3158634Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:19:34.3158975Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:19:34.3159256Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:19:34.3163310Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:34.3163548Z env:
2025-08-26T20:19:34.3163705Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:34.3163883Z ##[endgroup]
2025-08-26T20:19:34.3260709Z ##[group]Run set -x
2025-08-26T20:19:34.3260972Z set -x
2025-08-26T20:19:34.3261130Z 
2025-08-26T20:19:34.3261316Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-26T20:19:34.3261592Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-26T20:19:34.3261863Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-26T20:19:34.3262104Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-26T20:19:34.3262415Z else
2025-08-26T20:19:34.3262598Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:19:34.3262808Z fi
2025-08-26T20:19:34.3262977Z 
2025-08-26T20:19:34.3263174Z # Leaving 1GB for the runner and other things
2025-08-26T20:19:34.3263547Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-26T20:19:34.3264124Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-26T20:19:34.3264566Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-26T20:19:34.3264903Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-26T20:19:34.3265173Z 
2025-08-26T20:19:34.3265362Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:19:34.3265594Z   SHM_OPTS=
2025-08-26T20:19:34.3265764Z   JENKINS_USER=
2025-08-26T20:19:34.3266013Z   # ensure that docker container cleanly exits in 12 hours
2025-08-26T20:19:34.3266338Z   # if for some reason cleanup action doesn't stop container
2025-08-26T20:19:34.3266707Z   # when job is cancelled
2025-08-26T20:19:34.3266930Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-26T20:19:34.3267132Z else
2025-08-26T20:19:34.3267324Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-26T20:19:34.3267565Z   JENKINS_USER="--user jenkins"
2025-08-26T20:19:34.3267790Z   DOCKER_SHELL_CMD=
2025-08-26T20:19:34.3267976Z fi
2025-08-26T20:19:34.3268132Z 
2025-08-26T20:19:34.3268372Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-26T20:19:34.3268729Z # TODO: Stop building test binaries as part of the build phase
2025-08-26T20:19:34.3269118Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-26T20:19:34.3269469Z # shellcheck disable=SC2086,SC2090
2025-08-26T20:19:34.3269706Z container_name=$(docker run \
2025-08-26T20:19:34.3269928Z   ${GPU_FLAG:-} \
2025-08-26T20:19:34.3270150Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-26T20:19:34.3270384Z   -e BUILD_ENVIRONMENT \
2025-08-26T20:19:34.3270595Z   -e PR_NUMBER \
2025-08-26T20:19:34.3270793Z   -e GITHUB_ACTIONS \
2025-08-26T20:19:34.3270999Z   -e GITHUB_REPOSITORY \
2025-08-26T20:19:34.3271206Z   -e GITHUB_WORKFLOW \
2025-08-26T20:19:34.3271410Z   -e GITHUB_JOB \
2025-08-26T20:19:34.3271601Z   -e GITHUB_RUN_ID \
2025-08-26T20:19:34.3271800Z   -e GITHUB_RUN_NUMBER \
2025-08-26T20:19:34.3272000Z   -e GITHUB_RUN_ATTEMPT \
2025-08-26T20:19:34.3272211Z   -e JOB_ID \
2025-08-26T20:19:34.3272397Z   -e JOB_NAME \
2025-08-26T20:19:34.3272986Z   -e BASE_SHA \
2025-08-26T20:19:34.3273188Z   -e BRANCH \
2025-08-26T20:19:34.3273369Z   -e SHA1 \
2025-08-26T20:19:34.3273555Z   -e AWS_DEFAULT_REGION \
2025-08-26T20:19:34.3273774Z   -e IN_WHEEL_TEST \
2025-08-26T20:19:34.3273961Z   -e SHARD_NUMBER \
2025-08-26T20:19:34.3274154Z   -e TEST_CONFIG \
2025-08-26T20:19:34.3274348Z   -e NUM_TEST_SHARDS \
2025-08-26T20:19:34.3274556Z   -e REENABLED_ISSUES \
2025-08-26T20:19:34.3274762Z   -e CONTINUE_THROUGH_ERROR \
2025-08-26T20:19:34.3275071Z   -e VERBOSE_TEST_LOGS \
2025-08-26T20:19:34.3275288Z   -e TEST_SHOWLOCALS \
2025-08-26T20:19:34.3275500Z   -e NO_TEST_TIMEOUT \
2025-08-26T20:19:34.3275693Z   -e NO_TD \
2025-08-26T20:19:34.3275884Z   -e TD_DISTRIBUTED \
2025-08-26T20:19:34.3276091Z   -e PR_LABELS \
2025-08-26T20:19:34.3276314Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-26T20:19:34.3276547Z   -e SCCACHE_BUCKET \
2025-08-26T20:19:34.3276754Z   -e SCCACHE_REGION \
2025-08-26T20:19:34.3276956Z   -e XLA_CUDA \
2025-08-26T20:19:34.3277176Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-26T20:19:34.3277437Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-26T20:19:34.3277690Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-26T20:19:34.3277949Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-26T20:19:34.3278194Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-26T20:19:34.3278431Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-08-26T20:19:34.3278672Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-26T20:19:34.3278902Z   -e DASHBOARD_TAG \
2025-08-26T20:19:34.3279117Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-26T20:19:34.3279374Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-26T20:19:34.3279659Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-26T20:19:34.3279950Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-26T20:19:34.3280230Z   --security-opt seccomp=unconfined \
2025-08-26T20:19:34.3280475Z   --cap-add=SYS_PTRACE \
2025-08-26T20:19:34.3280733Z   --ipc=host \
2025-08-26T20:19:34.3280913Z   ${SHM_OPTS} \
2025-08-26T20:19:34.3281095Z   --tty \
2025-08-26T20:19:34.3281269Z   --detach \
2025-08-26T20:19:34.3281460Z   --name="${container_name}" \
2025-08-26T20:19:34.3281674Z   ${JENKINS_USER} \
2025-08-26T20:19:34.3281926Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-26T20:19:34.3282215Z   -w /var/lib/jenkins/workspace \
2025-08-26T20:19:34.3282436Z   "${DOCKER_IMAGE}" \
2025-08-26T20:19:34.3282625Z   ${DOCKER_SHELL_CMD}
2025-08-26T20:19:34.3282812Z )
2025-08-26T20:19:34.3283025Z # Propagate download.pytorch.org IP to container
2025-08-26T20:19:34.3283462Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-26T20:19:34.3283918Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-26T20:19:34.3284186Z 
2025-08-26T20:19:34.3284379Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:19:34.3284761Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-26T20:19:34.3285105Z fi
2025-08-26T20:19:34.3285250Z 
2025-08-26T20:19:34.3285571Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-26T20:19:34.3289936Z shell: /usr/bin/bash -e {0}
2025-08-26T20:19:34.3290130Z env:
2025-08-26T20:19:34.3290291Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:34.3290526Z   BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:34.3290762Z   PR_NUMBER: 
2025-08-26T20:19:34.3290938Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-26T20:19:34.3291146Z   GITHUB_WORKFLOW: inductor
2025-08-26T20:19:34.3291325Z   GITHUB_JOB: test
2025-08-26T20:19:34.3291496Z   GITHUB_RUN_ID: 17248463670
2025-08-26T20:19:34.3291687Z   GITHUB_RUN_NUMBER: 149891
2025-08-26T20:19:34.3291860Z   GITHUB_RUN_ATTEMPT: 1
2025-08-26T20:19:34.3292037Z   JOB_ID: 48946862593
2025-08-26T20:19:34.3292397Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:34.3292775Z   BRANCH: main
2025-08-26T20:19:34.3293034Z   SHA1: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:34.3293279Z   BASE_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:34.3293526Z   TEST_CONFIG: dynamic_cpu_inductor_torchbench
2025-08-26T20:19:34.3293741Z   SHARD_NUMBER: 1
2025-08-26T20:19:34.3293909Z   NUM_TEST_SHARDS: 2
2025-08-26T20:19:34.3294069Z   REENABLED_ISSUES: 
2025-08-26T20:19:34.3294244Z   CONTINUE_THROUGH_ERROR: True
2025-08-26T20:19:34.3294441Z   VERBOSE_TEST_LOGS: False
2025-08-26T20:19:34.3294632Z   TEST_SHOWLOCALS: False
2025-08-26T20:19:34.3294806Z   NO_TEST_TIMEOUT: False
2025-08-26T20:19:34.3294977Z   NO_TD: False
2025-08-26T20:19:34.3295144Z   TD_DISTRIBUTED: False
2025-08-26T20:19:34.3295360Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-26T20:19:34.3295595Z   SCCACHE_REGION: us-east-1
2025-08-26T20:19:34.3295776Z   SHM_SIZE: 1g
2025-08-26T20:19:34.3296310Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:19:34.3296868Z   XLA_CUDA: 
2025-08-26T20:19:34.3297113Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:19:34.3297406Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-26T20:19:34.3297630Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-26T20:19:34.3297832Z   DASHBOARD_TAG: 
2025-08-26T20:19:34.3298177Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-08-26T20:19:34.3298456Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-26T20:19:34.3298771Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-26T20:19:34.3299154Z   ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593
2025-08-26T20:19:34.3299545Z ##[endgroup]
2025-08-26T20:19:34.3323748Z + [[ dynamic_cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-08-26T20:19:34.3324204Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]]
2025-08-26T20:19:34.3333337Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:19:34.3335682Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-26T20:19:34.3348716Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 '
2025-08-26T20:19:34.3349016Z + TOTAL_MEMORY_WITH_SWAP=125
2025-08-26T20:19:34.3349282Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-26T20:19:34.3349546Z + SHM_OPTS=--shm-size=1g
2025-08-26T20:19:34.3349746Z + JENKINS_USER='--user jenkins'
2025-08-26T20:19:34.3349952Z + DOCKER_SHELL_CMD=
2025-08-26T20:19:34.3359307Z +++ nproc --ignore=2
2025-08-26T20:19:34.3383768Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_17248463670 --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-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:19:43.8859081Z + container_name=aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T20:19:43.8861662Z + grep download.pytorch.org /etc/hosts
2025-08-26T20:19:43.8862394Z + docker exec -i aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-26T20:19:44.0107693Z + echo DOCKER_CONTAINER_ID=aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T20:19:44.0108971Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-26T20:19:44.0112397Z ++ echo dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:44.0115190Z + docker exec -t aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e sh -c 'python3 -m pip install dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-26T20:19:44.3652031Z Processing ./dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git262640f)
2025-08-26T20:19:44.5873168Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.19.1)
2025-08-26T20:19:44.5874125Z 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+git262640f->torch==2.9.0a0+git262640f) (4.15.0)
2025-08-26T20:19:44.5876890Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.13.3)
2025-08-26T20:19:44.5882245Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2.8.8)
2025-08-26T20:19:44.5887740Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.1.6)
2025-08-26T20:19:44.5888909Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2025.3.0)
2025-08-26T20:19:44.5897768Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.3.0)
2025-08-26T20:19:44.6209470Z 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+git262640f->torch==2.9.0a0+git262640f) (1.22.4)
2025-08-26T20:19:44.6227740Z 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+git262640f->torch==2.9.0a0+git262640f) (1.3.0)
2025-08-26T20:19:44.6257542Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.0.2)
2025-08-26T20:19:45.4205492Z Installing collected packages: torch
2025-08-26T20:19:53.0348740Z 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.
2025-08-26T20:19:53.0349442Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-26T20:19:53.0349787Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-26T20:19:53.0350165Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-26T20:19:53.0350664Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-26T20:19:53.0351185Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-26T20:19:53.0351563Z Successfully installed torch-2.9.0a0+git262640f
2025-08-26T20:19:53.1439385Z + export TERM=vt100
2025-08-26T20:19:53.1446494Z + TERM=vt100
2025-08-26T20:19:53.1451771Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:19:53.1456236Z + source .ci/pytorch/common.sh
2025-08-26T20:19:53.1460565Z +++ dirname .ci/pytorch/common.sh
2025-08-26T20:19:53.1461862Z ++ source .ci/pytorch/common_utils.sh
2025-08-26T20:19:53.1462122Z +++ declare -f -t trap_add
2025-08-26T20:19:53.1462691Z ++ set -ex -o pipefail
2025-08-26T20:19:53.1462918Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:19:53.1463618Z ++ BUILD_TEST_LIBTORCH=0
2025-08-26T20:19:53.1468879Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:19:53.1471458Z + source .ci/pytorch/common-build.sh
2025-08-26T20:19:53.1471740Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]]
2025-08-26T20:19:53.1480934Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-26T20:19:53.1489256Z +++ cd .ci/pytorch
2025-08-26T20:19:53.1489568Z +++ pwd -P
2025-08-26T20:19:53.1494101Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-26T20:19:53.1494470Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]]
2025-08-26T20:19:53.1494710Z ++ which sccache
2025-08-26T20:19:53.1515095Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-26T20:19:53.1515448Z ++ sccache --stop-server
2025-08-26T20:19:53.1544351Z ++ true
2025-08-26T20:19:53.1544638Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-26T20:19:53.1550146Z ++ trap_add sccache_epilogue EXIT
2025-08-26T20:19:53.1550390Z ++ trap_add_cmd=sccache_epilogue
2025-08-26T20:19:53.1550595Z ++ shift
2025-08-26T20:19:53.1550798Z ++ for trap_add_name in "$@"
2025-08-26T20:19:53.1558624Z ++++ trap -p EXIT
2025-08-26T20:19:53.1564593Z +++ eval 'extract_trap_cmd '
2025-08-26T20:19:53.1564838Z ++++ extract_trap_cmd
2025-08-26T20:19:53.1565016Z ++++ printf '%s\n' ''
2025-08-26T20:19:53.1565202Z +++ printf '%s\n' sccache_epilogue
2025-08-26T20:19:53.1570768Z ++ trap -- '
2025-08-26T20:19:53.1571243Z sccache_epilogue' EXIT
2025-08-26T20:19:53.1571503Z ++ [[ -n 1 ]]
2025-08-26T20:19:53.1571918Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-26T20:19:53.1572333Z Skipping sccache server initialization, setting environment variables
2025-08-26T20:19:53.1572974Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:19:53.1573188Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:19:53.1573436Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:19:53.1573750Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:19:53.1574048Z ++ export RUST_LOG=sccache::server=error
2025-08-26T20:19:53.1574286Z ++ RUST_LOG=sccache::server=error
2025-08-26T20:19:53.1574496Z ++ sccache --zero-stats
2025-08-26T20:19:53.3136624Z Statistics zeroed.
2025-08-26T20:19:53.3136946Z ++ which ccache
2025-08-26T20:19:53.3164520Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]]
2025-08-26T20:19:53.3164883Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]]
2025-08-26T20:19:53.3165157Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-26T20:19:53.3167505Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-26T20:19:53.3179342Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-26T20:19:53.3180045Z + trap_add cleanup_workspace EXIT
2025-08-26T20:19:53.3180366Z + trap_add_cmd=cleanup_workspace
2025-08-26T20:19:53.3180575Z + shift
2025-08-26T20:19:53.3180750Z + for trap_add_name in "$@"
2025-08-26T20:19:53.3186783Z +++ trap -p EXIT
2025-08-26T20:19:53.3190111Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-26T20:19:53.3190382Z sccache_epilogue'\'' EXIT'
2025-08-26T20:19:53.3190597Z +++ extract_trap_cmd trap -- '
2025-08-26T20:19:53.3190844Z sccache_epilogue' EXIT
2025-08-26T20:19:53.3191035Z +++ printf '%s\n' '
2025-08-26T20:19:53.3191203Z sccache_epilogue'
2025-08-26T20:19:53.3191397Z ++ printf '%s\n' cleanup_workspace
2025-08-26T20:19:53.3192007Z + trap -- '
2025-08-26T20:19:53.3192175Z sccache_epilogue
2025-08-26T20:19:53.3192347Z cleanup_workspace' EXIT
2025-08-26T20:19:53.3192695Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-26T20:19:53.7551512Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-26T20:19:53.7565265Z + echo 'Environment variables:'
2025-08-26T20:19:53.7565541Z Environment variables:
2025-08-26T20:19:53.7565767Z + env
2025-08-26T20:19:53.7577668Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:19:53.7578388Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:19:53.7578760Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:53.7579257Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:19:53.7579469Z HOSTNAME=aa459d8d4952
2025-08-26T20:19:53.7580159Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7580582Z GITHUB_ACTION=__run_2
2025-08-26T20:19:53.7580777Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:19:53.7580991Z GITHUB_RUN_NUMBER=149891
2025-08-26T20:19:53.7581206Z TEST_CONFIG=dynamic_cpu_inductor_torchbench
2025-08-26T20:19:53.7581436Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:19:53.7581675Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:19:53.7581928Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:19:53.7582211Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:19:53.7582433Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:19:53.7582641Z GITHUB_REF_TYPE=branch
2025-08-26T20:19:53.7582843Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:53.7583066Z XLA_CUDA=
2025-08-26T20:19:53.7583235Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:19:53.7583515Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:19:53.7586867Z ***
2025-08-26T20:19:53.7587043Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:19:53.7587237Z GITHUB_ACTIONS=true
2025-08-26T20:19:53.7587446Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:19:53.7587708Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:53.7587943Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:53.7588287Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-26T20:19:53.7588594Z UCC_HOME=/usr
2025-08-26T20:19:53.7588758Z VERBOSE_TEST_LOGS=False
2025-08-26T20:19:53.7588935Z GITHUB_REF=refs/heads/main
2025-08-26T20:19:53.7589118Z SHARD_NUMBER=1
2025-08-26T20:19:53.7589427Z GITHUB_REF_PROTECTED=true
2025-08-26T20:19:53.7589612Z HOME=/var/lib/jenkins
2025-08-26T20:19:53.7589808Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:19:53.7590037Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:19:53.7590236Z UCX_COMMIT=
2025-08-26T20:19:53.7590388Z USE_SYSTEM_NCCL=1
2025-08-26T20:19:53.7590544Z NUM_TEST_SHARDS=2
2025-08-26T20:19:53.7590703Z UCX_HOME=/usr
2025-08-26T20:19:53.7591068Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7591651Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:53.7592223Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7592813Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:19:53.7593140Z GITHUB_EVENT_NAME=push
2025-08-26T20:19:53.7593329Z DASHBOARD_TAG=
2025-08-26T20:19:53.7593497Z GITHUB_RUN_ID=17248463670
2025-08-26T20:19:53.7593688Z INSTALLED_OPENBLAS=
2025-08-26T20:19:53.7594092Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7594523Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:19:53.7594721Z PR_NUMBER=
2025-08-26T20:19:53.7594867Z DESIRED_CUDA=
2025-08-26T20:19:53.7595030Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:19:53.7595211Z ANACONDA_PYTHON_VERSION=3.9
2025-08-26T20:19:53.7595445Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:19:53.7595676Z TERM=vt100
2025-08-26T20:19:53.7595833Z INSTALLED_VISION=yes
2025-08-26T20:19:53.7596003Z BRANCH=main
2025-08-26T20:19:53.7596170Z SCCACHE_REGION=us-east-1
2025-08-26T20:19:53.7596357Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:19:53.7596556Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:19:53.7596899Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:19:53.7597273Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:19:53.7597478Z UCC_COMMIT=
2025-08-26T20:19:53.7597630Z REENABLED_ISSUES=
2025-08-26T20:19:53.7597793Z DOCS=yes
2025-08-26T20:19:53.7597943Z SHLVL=1
2025-08-26T20:19:53.7598085Z MAX_JOBS=30
2025-08-26T20:19:53.7598243Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:19:53.7598549Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:53.7598806Z GITHUB_REF_NAME=main
2025-08-26T20:19:53.7599084Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:19:53.7599378Z GITHUB_JOB=test
2025-08-26T20:19:53.7599558Z NO_TEST_TIMEOUT=False
2025-08-26T20:19:53.7599735Z TD_DISTRIBUTED=False
2025-08-26T20:19:53.7599932Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:19:53.7600153Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:19:53.7600348Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:19:53.7600538Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:19:53.7601042Z 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
2025-08-26T20:19:53.7601539Z GITHUB_BASE_REF=
2025-08-26T20:19:53.7601715Z INSTALLED_ACL=
2025-08-26T20:19:53.7602027Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593
2025-08-26T20:19:53.7602367Z CI=true
2025-08-26T20:19:53.7602536Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:19:53.7602798Z RUST_LOG=sccache::server=error
2025-08-26T20:19:53.7602996Z JOB_ID=48946862593
2025-08-26T20:19:53.7603158Z GITHUB_HEAD_REF=
2025-08-26T20:19:53.7603331Z GITHUB_ACTION_REF=
2025-08-26T20:19:53.7603553Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:19:53.7603785Z TEST_SHOWLOCALS=False
2025-08-26T20:19:53.7603952Z GITHUB_WORKFLOW=inductor
2025-08-26T20:19:53.7604139Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:19:53.7604518Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7604936Z NO_TD=False
2025-08-26T20:19:53.7605088Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:19:53.7605288Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:19:53.7605487Z _=/usr/bin/env
2025-08-26T20:19:53.7605711Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-26T20:19:53.7848521Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch
2025-08-26T20:19:53.7849229Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin
2025-08-26T20:19:53.7855894Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib
2025-08-26T20:19:53.7860863Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test
2025-08-26T20:19:53.7865159Z + BUILD_DIR=build
2025-08-26T20:19:53.7865419Z + BUILD_RENAMED_DIR=build_renamed
2025-08-26T20:19:53.7865655Z + BUILD_BIN_DIR=build/bin
2025-08-26T20:19:53.7865846Z + SHARD_NUMBER=1
2025-08-26T20:19:53.7866021Z + NUM_TEST_SHARDS=2
2025-08-26T20:19:53.7866258Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:19:53.7866486Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:19:53.7866698Z + export VALGRIND=ON
2025-08-26T20:19:53.7866881Z + VALGRIND=ON
2025-08-26T20:19:53.7867089Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]]
2025-08-26T20:19:53.7867360Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:19:53.7867611Z + detect_cuda_arch
2025-08-26T20:19:53.7867817Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:19:53.7868081Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]]
2025-08-26T20:19:53.7868298Z + [[ 0 == \1 ]]
2025-08-26T20:19:53.7868460Z + [[ True == \1 ]]
2025-08-26T20:19:53.7868664Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]]
2025-08-26T20:19:53.7868912Z ++ realpath build/custom_test_artifacts
2025-08-26T20:19:53.7869258Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-26T20:19:53.7869585Z + [[ -n '' ]]
2025-08-26T20:19:53.7869764Z + echo 'Environment variables'
2025-08-26T20:19:53.7869974Z Environment variables
2025-08-26T20:19:53.7870148Z + env
2025-08-26T20:19:53.7884443Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:19:53.7884956Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:19:53.7885318Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:53.7886306Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:19:53.7886607Z HOSTNAME=aa459d8d4952
2025-08-26T20:19:53.7886996Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7887394Z GITHUB_ACTION=__run_2
2025-08-26T20:19:53.7887586Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:19:53.7887796Z GITHUB_RUN_NUMBER=149891
2025-08-26T20:19:53.7888008Z TEST_CONFIG=dynamic_cpu_inductor_torchbench
2025-08-26T20:19:53.7888233Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:19:53.7888473Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:19:53.7888698Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:19:53.7888987Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:19:53.7889200Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:19:53.7889406Z GITHUB_REF_TYPE=branch
2025-08-26T20:19:53.7889610Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:53.7889830Z XLA_CUDA=
2025-08-26T20:19:53.7889997Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:19:53.7890445Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:19:53.7890709Z ***
2025-08-26T20:19:53.7890873Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:19:53.7891069Z GITHUB_ACTIONS=true
2025-08-26T20:19:53.7891272Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:19:53.7891536Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:53.7891784Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:53.7892125Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-26T20:19:53.7892429Z UCC_HOME=/usr
2025-08-26T20:19:53.7892590Z TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:19:53.7892911Z VERBOSE_TEST_LOGS=False
2025-08-26T20:19:53.7893106Z GITHUB_REF=refs/heads/main
2025-08-26T20:19:53.7893286Z SHARD_NUMBER=1
2025-08-26T20:19:53.7893464Z GITHUB_REF_PROTECTED=true
2025-08-26T20:19:53.7893654Z HOME=/var/lib/jenkins
2025-08-26T20:19:53.7893864Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:19:53.7894099Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:19:53.7894304Z UCX_COMMIT=
2025-08-26T20:19:53.7894463Z USE_SYSTEM_NCCL=1
2025-08-26T20:19:53.7894637Z NUM_TEST_SHARDS=2
2025-08-26T20:19:53.7894793Z UCX_HOME=/usr
2025-08-26T20:19:53.7895165Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7895755Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:53.7896322Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7896831Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:19:53.7897142Z GITHUB_EVENT_NAME=push
2025-08-26T20:19:53.7897323Z DASHBOARD_TAG=
2025-08-26T20:19:53.7897493Z GITHUB_RUN_ID=17248463670
2025-08-26T20:19:53.7897679Z INSTALLED_OPENBLAS=
2025-08-26T20:19:53.7898066Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7898498Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:19:53.7898692Z PR_NUMBER=
2025-08-26T20:19:53.7898845Z DESIRED_CUDA=
2025-08-26T20:19:53.7899004Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:19:53.7899177Z VALGRIND=ON
2025-08-26T20:19:53.7899344Z ANACONDA_PYTHON_VERSION=3.9
2025-08-26T20:19:53.7899578Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:19:53.7899805Z TERM=vt100
2025-08-26T20:19:53.7899965Z INSTALLED_VISION=yes
2025-08-26T20:19:53.7900138Z BRANCH=main
2025-08-26T20:19:53.7900304Z SCCACHE_REGION=us-east-1
2025-08-26T20:19:53.7900503Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:19:53.7900707Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:19:53.7901051Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:19:53.7901423Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:19:53.7901630Z UCC_COMMIT=
2025-08-26T20:19:53.7901840Z REENABLED_ISSUES=
2025-08-26T20:19:53.7902009Z DOCS=yes
2025-08-26T20:19:53.7902162Z SHLVL=1
2025-08-26T20:19:53.7902306Z MAX_JOBS=30
2025-08-26T20:19:53.7902493Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:19:53.7902732Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:53.7902990Z GITHUB_REF_NAME=main
2025-08-26T20:19:53.7903255Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:19:53.7903540Z GITHUB_JOB=test
2025-08-26T20:19:53.7903709Z NO_TEST_TIMEOUT=False
2025-08-26T20:19:53.7903890Z TD_DISTRIBUTED=False
2025-08-26T20:19:53.7904062Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:19:53.7904267Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:19:53.7904447Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:19:53.7904627Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:19:53.7905085Z 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
2025-08-26T20:19:53.7905550Z GITHUB_BASE_REF=
2025-08-26T20:19:53.7905713Z INSTALLED_ACL=
2025-08-26T20:19:53.7906023Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593
2025-08-26T20:19:53.7906364Z CI=true
2025-08-26T20:19:53.7906532Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:19:53.7906790Z RUST_LOG=sccache::server=error
2025-08-26T20:19:53.7906983Z JOB_ID=48946862593
2025-08-26T20:19:53.7907144Z GITHUB_HEAD_REF=
2025-08-26T20:19:53.7907310Z GITHUB_ACTION_REF=
2025-08-26T20:19:53.7907519Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:19:53.7907759Z TEST_SHOWLOCALS=False
2025-08-26T20:19:53.7907934Z GITHUB_WORKFLOW=inductor
2025-08-26T20:19:53.7908173Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:19:53.7908576Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_cc6d52a9-6f05-4acb-b33f-13d2ac332b3c
2025-08-26T20:19:53.7908968Z NO_TD=False
2025-08-26T20:19:53.7909133Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:19:53.7909350Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:19:53.7909562Z _=/usr/bin/env
2025-08-26T20:19:53.7909730Z + echo 'Testing pytorch'
2025-08-26T20:19:53.7909903Z Testing pytorch
2025-08-26T20:19:53.7910093Z + export LANG=C.UTF-8
2025-08-26T20:19:53.7910270Z + LANG=C.UTF-8
2025-08-26T20:19:53.7910448Z + PR_NUMBER=
2025-08-26T20:19:53.7910651Z + [[ dynamic_cpu_inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-08-26T20:19:53.7910954Z + [[ dynamic_cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-26T20:19:53.7911240Z + [[ dynamic_cpu_inductor_torchbench == \s\l\o\w ]]
2025-08-26T20:19:53.7911525Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]]
2025-08-26T20:19:53.7911806Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:19:53.7912059Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:19:53.7912310Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:19:53.7912825Z + [[ dynamic_cpu_inductor_torchbench == *crossref* ]]
2025-08-26T20:19:53.7913093Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:19:53.7913346Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:19:53.7913605Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-26T20:19:53.7913854Z + pip_install ninja==1.10.2
2025-08-26T20:19:53.7914119Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-26T20:19:53.7914599Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-26T20:19:54.1832783Z Collecting ninja==1.10.2
2025-08-26T20:19:54.1933240Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-26T20:19:54.2061207Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-26T20:19:54.9852539Z Installing collected packages: ninja
2025-08-26T20:19:54.9852860Z   Attempting uninstall: ninja
2025-08-26T20:19:54.9861007Z     Found existing installation: ninja 1.11.1.3
2025-08-26T20:19:54.9879035Z     Uninstalling ninja-1.11.1.3:
2025-08-26T20:19:55.0126523Z       Successfully uninstalled ninja-1.11.1.3
2025-08-26T20:19:55.1393344Z Successfully installed ninja-1.10.2
2025-08-26T20:19:55.2384844Z + 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
2025-08-26T20:19:55.2385828Z + 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
2025-08-26T20:19:55.2386456Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-26T20:19:55.2386780Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]]
2025-08-26T20:19:55.2387036Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]]
2025-08-26T20:19:55.2387300Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-26T20:19:55.2387688Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass'
2025-08-26T20:19:55.2388139Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass
2025-08-26T20:19:55.2388440Z + cd test
2025-08-26T20:19:55.2388693Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-26T20:19:56.4745356Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-26T20:19:56.4745845Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-26T20:19:56.4746207Z + [[ dynamic_cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-26T20:19:56.4746550Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-26T20:19:56.4746813Z + [[ dynamic_cpu_inductor_torchbench == *pr_time_benchmarks* ]]
2025-08-26T20:19:56.4747519Z + [[ dynamic_cpu_inductor_torchbench == *dynamo_eager* ]]
2025-08-26T20:19:56.4747806Z + [[ dynamic_cpu_inductor_torchbench == *aot_eager* ]]
2025-08-26T20:19:56.4748094Z + [[ dynamic_cpu_inductor_torchbench == *aot_inductor* ]]
2025-08-26T20:19:56.4748408Z + [[ dynamic_cpu_inductor_torchbench == *max_autotune_inductor* ]]
2025-08-26T20:19:56.4748708Z + [[ dynamic_cpu_inductor_torchbench == *inductor* ]]
2025-08-26T20:19:56.4748970Z + [[ dynamic_cpu_inductor_torchbench != *perf* ]]
2025-08-26T20:19:56.4749251Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-08-26T20:19:56.4749504Z + [[ dynamic_cpu_inductor_torchbench == *dynamic* ]]
2025-08-26T20:19:56.4749832Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only)
2025-08-26T20:19:56.4750143Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]]
2025-08-26T20:19:56.4750395Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-08-26T20:19:56.4799735Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-26T20:19:56.4800716Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]]
2025-08-26T20:19:56.4801025Z + cd test
2025-08-26T20:19:56.4801263Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-26T20:19:57.4545945Z PyTorch built with:
2025-08-26T20:19:57.4546434Z   - GCC 11.4
2025-08-26T20:19:57.4546709Z   - C++ Version: 201703
2025-08-26T20:19:57.4547237Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:19:57.4547723Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:19:57.4548053Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:19:57.4548293Z   - LAPACK is enabled (usually provided by MKL)
2025-08-26T20:19:57.4548523Z   - NNPACK is enabled
2025-08-26T20:19:57.4548721Z   - CPU capability usage: AVX512
2025-08-26T20:19:57.4552138Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=262640fd220236042fbf4443cc163c8838c84c3d, 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, 
2025-08-26T20:19:57.4555632Z 
2025-08-26T20:19:57.6698669Z + cd test
2025-08-26T20:19:57.6699035Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-26T20:19:58.6816997Z ATen/Parallel:
2025-08-26T20:19:58.6817524Z 	at::get_num_threads() : 16
2025-08-26T20:19:58.6817897Z 	at::get_num_interop_threads() : 16
2025-08-26T20:19:58.6818308Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:19:58.6818662Z 	omp_get_max_threads() : 16
2025-08-26T20:19:58.6819709Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:19:58.6820171Z 	mkl_get_max_threads() : 16
2025-08-26T20:19:58.6820478Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:19:58.6820807Z std::thread::hardware_concurrency() : 32
2025-08-26T20:19:58.6821047Z Environment variables:
2025-08-26T20:19:58.6821249Z 	OMP_NUM_THREADS : [not set]
2025-08-26T20:19:58.6821449Z 	MKL_NUM_THREADS : [not set]
2025-08-26T20:19:58.6822043Z ATen parallel backend: OpenMP
2025-08-26T20:19:58.6822187Z 
2025-08-26T20:19:58.9016389Z + [[ dynamic_cpu_inductor_torchbench == *numpy_2* ]]
2025-08-26T20:19:58.9021834Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-26T20:19:58.9024191Z + [[ dynamic_cpu_inductor_torchbench == *backward* ]]
2025-08-26T20:19:58.9024582Z + [[ dynamic_cpu_inductor_torchbench == *xla* ]]
2025-08-26T20:19:58.9024862Z + [[ dynamic_cpu_inductor_torchbench == *vllm* ]]
2025-08-26T20:19:58.9025132Z + [[ dynamic_cpu_inductor_torchbench == *executorch* ]]
2025-08-26T20:19:58.9025422Z + [[ dynamic_cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-26T20:19:58.9025754Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-26T20:19:58.9026035Z + [[ dynamic_cpu_inductor_torchbench == distributed ]]
2025-08-26T20:19:58.9026325Z + [[ dynamic_cpu_inductor_torchbench == *operator_benchmark* ]]
2025-08-26T20:19:58.9026639Z + [[ dynamic_cpu_inductor_torchbench == *inductor_distributed* ]]
2025-08-26T20:19:58.9026949Z + [[ dynamic_cpu_inductor_torchbench == *inductor-halide* ]]
2025-08-26T20:19:58.9027252Z + [[ dynamic_cpu_inductor_torchbench == *inductor-triton-cpu* ]]
2025-08-26T20:19:58.9027580Z + [[ dynamic_cpu_inductor_torchbench == *inductor-micro-benchmark* ]]
2025-08-26T20:19:58.9027887Z + [[ dynamic_cpu_inductor_torchbench == *huggingface* ]]
2025-08-26T20:19:58.9028144Z + [[ dynamic_cpu_inductor_torchbench == *timm* ]]
2025-08-26T20:19:58.9028389Z + [[ dynamic_cpu_inductor_torchbench == cachebench ]]
2025-08-26T20:19:58.9028660Z + [[ dynamic_cpu_inductor_torchbench == verify_cachebench ]]
2025-08-26T20:19:58.9028938Z + [[ dynamic_cpu_inductor_torchbench == *torchbench* ]]
2025-08-26T20:19:58.9029172Z + install_torchaudio
2025-08-26T20:19:58.9029343Z + local commit
2025-08-26T20:19:58.9029517Z ++ get_pinned_commit audio
2025-08-26T20:19:58.9029723Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-26T20:19:58.9345216Z + commit=10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:19:58.9345796Z + pip_build_and_install git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922 dist/audio
2025-08-26T20:19:58.9346413Z + local build_target=git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:19:58.9346790Z + local wheel_dir=dist/audio
2025-08-26T20:19:58.9346996Z + local found_whl=0
2025-08-26T20:19:58.9347555Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:19:58.9347908Z + [[ -f dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl ]]
2025-08-26T20:19:58.9348212Z + found_whl=1
2025-08-26T20:19:58.9348379Z + break
2025-08-26T20:19:58.9348534Z + '[' 1 == 0 ']'
2025-08-26T20:19:58.9348709Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:19:58.9349032Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:58.9349455Z + args=('dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl')
2025-08-26T20:19:58.9349747Z + local args
2025-08-26T20:19:58.9350006Z + [[ dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-26T20:19:58.9350332Z + for path in "${args[@]}"
2025-08-26T20:19:58.9350637Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl'
2025-08-26T20:19:58.9351055Z Installing dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:58.9351545Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:59.2393072Z Processing ./dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:59.2455942Z Installing collected packages: torchaudio
2025-08-26T20:19:59.5020079Z Successfully installed torchaudio-2.8.0a0+10a5002
2025-08-26T20:19:59.5427785Z + install_torchvision
2025-08-26T20:19:59.5428082Z + local orig_preload
2025-08-26T20:19:59.5428259Z + local commit
2025-08-26T20:19:59.5429118Z ++ get_pinned_commit vision
2025-08-26T20:19:59.5429421Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-26T20:19:59.5445923Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:19:59.5446612Z + orig_preload=
2025-08-26T20:19:59.5446845Z + '[' -n '' ']'
2025-08-26T20:19:59.5447055Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:19:59.5447532Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-26T20:19:59.5448107Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:19:59.5448516Z + local wheel_dir=dist/vision
2025-08-26T20:19:59.5448762Z + local found_whl=0
2025-08-26T20:19:59.5448948Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:19:59.5449269Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]]
2025-08-26T20:19:59.5449577Z + found_whl=1
2025-08-26T20:19:59.5449726Z + break
2025-08-26T20:19:59.5449918Z + '[' 1 == 0 ']'
2025-08-26T20:19:59.5450100Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:19:59.5450430Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:59.5451049Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl')
2025-08-26T20:19:59.5451497Z + local args
2025-08-26T20:19:59.5452314Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-26T20:19:59.5452859Z + for path in "${args[@]}"
2025-08-26T20:19:59.5453309Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl'
2025-08-26T20:19:59.5453771Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:59.5454289Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:59.8432683Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:59.8508096Z Installing collected packages: torchvision
2025-08-26T20:20:00.2390878Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-26T20:20:00.2821018Z + '[' -n '' ']'
2025-08-26T20:20:00.2824083Z + id=0
2025-08-26T20:20:00.2824404Z + pip_install opencv-python==4.8.0.74
2025-08-26T20:20:00.2824749Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-26T20:20:00.2825095Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-08-26T20:20:00.6663376Z Collecting opencv-python==4.8.0.74
2025-08-26T20:20:00.6792010Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-08-26T20:20:00.6886692Z 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)
2025-08-26T20:20:00.6964354Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-08-26T20:20:01.9632805Z Installing collected packages: opencv-python
2025-08-26T20:20:01.9633150Z   Attempting uninstall: opencv-python
2025-08-26T20:20:01.9646707Z     Found existing installation: opencv-python 4.11.0.86
2025-08-26T20:20:01.9709885Z     Uninstalling opencv-python-4.11.0.86:
2025-08-26T20:20:02.0530055Z       Successfully uninstalled opencv-python-4.11.0.86
2025-08-26T20:20:02.9271567Z Successfully installed opencv-python-4.8.0.74
2025-08-26T20:20:03.0405090Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-08-26T20:20:03.0409203Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-08-26T20:20:03.0409598Z + [[ dynamic_cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-08-26T20:20:03.0409974Z + [[ dynamic_cpu_inductor_torchbench != *cpu* ]]
2025-08-26T20:20:03.0410217Z + PYTHONPATH=/torchbench
2025-08-26T20:20:03.0410431Z + test_dynamo_benchmark torchbench 0
2025-08-26T20:20:03.0410637Z ++ pwd
2025-08-26T20:20:03.0410875Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-26T20:20:03.0411184Z + local suite=torchbench
2025-08-26T20:20:03.0411367Z + shift
2025-08-26T20:20:03.0411877Z + local shard_id=0
2025-08-26T20:20:03.0412045Z + shift
2025-08-26T20:20:03.0412249Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]]
2025-08-26T20:20:03.0412522Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]]
2025-08-26T20:20:03.0412771Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]]
2025-08-26T20:20:03.0412996Z + local dt=float32
2025-08-26T20:20:03.0413194Z + [[ dynamic_cpu_inductor_torchbench == *amp* ]]
2025-08-26T20:20:03.0413451Z + [[ dynamic_cpu_inductor_torchbench == *freezing* ]]
2025-08-26T20:20:03.0413781Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32
2025-08-26T20:20:03.0414190Z ++ pwd
2025-08-26T20:20:03.0419549Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-26T20:20:03.0419947Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-26T20:20:03.0432179Z + local name=inference
2025-08-26T20:20:03.0432424Z + shift
2025-08-26T20:20:03.0433036Z + local suite=torchbench
2025-08-26T20:20:03.0433257Z + shift
2025-08-26T20:20:03.0433437Z + local shard_id=0
2025-08-26T20:20:03.0433598Z + shift
2025-08-26T20:20:03.0433753Z + partition_flags=()
2025-08-26T20:20:03.0433942Z + local partition_flags
2025-08-26T20:20:03.0434130Z + [[ -n 2 ]]
2025-08-26T20:20:03.0434287Z + [[ -n 0 ]]
2025-08-26T20:20:03.0434567Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-08-26T20:20:03.0434940Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]]
2025-08-26T20:20:03.0435212Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]]
2025-08-26T20:20:03.0435499Z + [[ dynamic_cpu_inductor_torchbench == *_avx2* ]]
2025-08-26T20:20:03.0435751Z + [[ dynamic_cpu_inductor_torchbench == *_avx512* ]]
2025-08-26T20:20:03.0436709Z + 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
2025-08-26T20:20:08.1882867Z 
2025-08-26T20:20:09.7909207Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:20:09.7909662Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:20:09.7935819Z cpu  eval  BERT_pytorch                       
2025-08-26T20:20:10.2580311Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:10.4826376Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:10.7137221Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:35.5617907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5618481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5618856Z     return mod(*inputs)
2025-08-26T20:20:35.5619242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5619706Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5620080Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward
2025-08-26T20:20:35.5620497Z     mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1)
2025-08-26T20:20:35.5620678Z 
2025-08-26T20:20:35.5620822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5621226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5621574Z     return mod(*inputs)
2025-08-26T20:20:35.5621948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5622343Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5622697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward
2025-08-26T20:20:35.5623061Z     x = self.embedding(x, segment_info)
2025-08-26T20:20:35.5623839Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward
2025-08-26T20:20:35.5624361Z     x = self.token(sequence) + self.position(sequence) + self.segment(segment_label)
2025-08-26T20:20:35.5624588Z 
2025-08-26T20:20:35.5624714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5625215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5625575Z     return mod(*inputs)
2025-08-26T20:20:35.5625960Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5626345Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5626705Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5627067Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5627432Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5627864Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5628274Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5628718Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5629138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5629623Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5630081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5630491Z     query, key, value = [
2025-08-26T20:20:35.5630904Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5631411Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5631605Z 
2025-08-26T20:20:35.5631722Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5632138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5632505Z     return mod(*inputs)
2025-08-26T20:20:35.5633274Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5633675Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5634046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5634423Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5634809Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5635204Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5635611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5636122Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5636545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5636977Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5637417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5637824Z     query, key, value = [
2025-08-26T20:20:35.5638235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5638686Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5638858Z 
2025-08-26T20:20:35.5638976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5639352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5639769Z     return mod(*inputs)
2025-08-26T20:20:35.5640133Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5640520Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5640882Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5641257Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5641646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5642047Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5642450Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5642872Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5643302Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5643727Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5644171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5644649Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5645109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5645612Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5645838Z 
2025-08-26T20:20:35.5645951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5646453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5646857Z     return mod(*inputs)
2025-08-26T20:20:35.5647225Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5647600Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5647959Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5648320Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5648746Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5649134Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5649516Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5649927Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5650325Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5650748Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5651171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5651623Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5652063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5652541Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5652757Z 
2025-08-26T20:20:35.5653133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5653508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5653838Z     return mod(*inputs)
2025-08-26T20:20:35.5654184Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5654564Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5654911Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5655332Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5655698Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5656085Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5656480Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5656898Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5657293Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5657706Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5658135Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5658593Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5659026Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5659499Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5659719Z 
2025-08-26T20:20:35.5659833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5660210Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5660549Z     return mod(*inputs)
2025-08-26T20:20:35.5660897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5661296Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5661651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5662015Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5662402Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5662783Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5663174Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5663628Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5664031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5664442Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5664873Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5665274Z     query, key, value = [
2025-08-26T20:20:35.5665674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5666138Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5666316Z 
2025-08-26T20:20:35.5666429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5666817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5667170Z     return mod(*inputs)
2025-08-26T20:20:35.5667546Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5667938Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5668292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5668662Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5669043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5669443Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5669880Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5670307Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5670716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5671136Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5671581Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5672044Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5672493Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5673018Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5673175Z 
2025-08-26T20:20:35.5673299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5673688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5674029Z     return mod(*inputs)
2025-08-26T20:20:35.5674392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5674782Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5675157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5675537Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5675919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5676324Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5676731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5677157Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5677570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5678001Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5678531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5678998Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5679448Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5679873Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5680035Z 
2025-08-26T20:20:35.5680149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5680533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5680879Z     return mod(*inputs)
2025-08-26T20:20:35.5681251Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5681772Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5682155Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5682570Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5682961Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5683410Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5683812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5684225Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5684635Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5685102Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5685530Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.5685997Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.5686203Z 
2025-08-26T20:20:35.5686314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5686693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5687057Z     return mod(*inputs)
2025-08-26T20:20:35.5687409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5687800Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5688165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5688573Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5688938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5689328Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5689716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5690144Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5690562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5690983Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5691434Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.5691855Z     return self.output_linear(x)
2025-08-26T20:20:35.5691984Z 
2025-08-26T20:20:35.5692101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5692472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5692812Z     return mod(*inputs)
2025-08-26T20:20:35.5693157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5693534Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5693925Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5694277Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5694650Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5695036Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5695430Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5695837Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5696264Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5696704Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5696888Z 
2025-08-26T20:20:35.5696998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5697373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5697707Z     return mod(*inputs)
2025-08-26T20:20:35.5698058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5698434Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5698783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5699159Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5699519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5699951Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5700344Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5700756Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5701174Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5701791Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5701982Z 
2025-08-26T20:20:35.5702095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5702472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5702814Z     return mod(*inputs)
2025-08-26T20:20:35.5703165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5703556Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5703916Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5704275Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5704651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5705036Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5705427Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5705843Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5706264Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5706700Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5706889Z 
2025-08-26T20:20:35.5707006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5707387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5707733Z     return mod(*inputs)
2025-08-26T20:20:35.5708091Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5708533Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5708898Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5709263Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5709644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5710036Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5710443Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5710873Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5711288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5711716Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5712159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5712621Z     query, key, value = [
2025-08-26T20:20:35.5713046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5713514Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5713694Z 
2025-08-26T20:20:35.5713818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5714206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5714762Z     return mod(*inputs)
2025-08-26T20:20:35.5715215Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5715590Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5715929Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5716290Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5716663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5717056Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5717450Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5717857Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5718262Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5718678Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5719107Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5719496Z     query, key, value = [
2025-08-26T20:20:35.5719869Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5720312Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5720487Z 
2025-08-26T20:20:35.5720598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5720969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5721297Z     return mod(*inputs)
2025-08-26T20:20:35.5721647Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5722024Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5722373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5722745Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5723106Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5723556Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5723951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5724370Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5724774Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5725201Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5725651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5726121Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5726579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5727108Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5727333Z 
2025-08-26T20:20:35.5727446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5727820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5728156Z     return mod(*inputs)
2025-08-26T20:20:35.5728499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5728870Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5729229Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5729626Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5730028Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5730427Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5730815Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5731231Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5731641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5732064Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5732494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5732958Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5733405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5733886Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5734100Z 
2025-08-26T20:20:35.5734219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5734587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5734924Z     return mod(*inputs)
2025-08-26T20:20:35.5735281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5735670Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5736025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5736397Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5736776Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5737182Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5737572Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5737990Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5738443Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5738867Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5739308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5739786Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5740236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5740732Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5740963Z 
2025-08-26T20:20:35.5741079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5741466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5741836Z     return mod(*inputs)
2025-08-26T20:20:35.5742191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5742587Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5742949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5743335Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5743714Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5744129Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5744538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5745010Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5745424Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5745839Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5746282Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5746681Z     query, key, value = [
2025-08-26T20:20:35.5747075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5747530Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5747705Z 
2025-08-26T20:20:35.5747817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5748201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5748550Z     return mod(*inputs)
2025-08-26T20:20:35.5748905Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5749287Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5749646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5750011Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5750386Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5750784Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5751174Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5751602Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5752013Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5752435Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5753020Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5753540Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5753993Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5754412Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5754566Z 
2025-08-26T20:20:35.5754687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5755074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5755412Z     return mod(*inputs)
2025-08-26T20:20:35.5755760Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5756136Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5756479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5756824Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5757194Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5757577Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5757965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5758369Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5758769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5759175Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5759647Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5760096Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5760520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5760925Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5761081Z 
2025-08-26T20:20:35.5761192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5761562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5761901Z     return mod(*inputs)
2025-08-26T20:20:35.5762242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5762618Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5762963Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5763320Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5763681Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5764069Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5764461Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5764878Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5765259Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5765658Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5766089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.5766552Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.5766754Z 
2025-08-26T20:20:35.5766871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5767258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5767567Z     return mod(*inputs)
2025-08-26T20:20:35.5767946Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5768305Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5768630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5768958Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5769323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5769709Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5770090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5770483Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5770856Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5771238Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5771642Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.5772016Z     return self.output_linear(x)
2025-08-26T20:20:35.5772138Z 
2025-08-26T20:20:35.5772247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5772592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5772910Z     return mod(*inputs)
2025-08-26T20:20:35.5773234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5773639Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5773949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5774273Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5774613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5774975Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5775342Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5775724Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5776118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5776536Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5776707Z 
2025-08-26T20:20:35.5776826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5777186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5777522Z     return mod(*inputs)
2025-08-26T20:20:35.5777864Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5778248Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5778596Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5778923Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5779285Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5779684Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5780071Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5780491Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5780917Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5781334Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5781512Z 
2025-08-26T20:20:35.5781663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5782035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5782363Z     return mod(*inputs)
2025-08-26T20:20:35.5782711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5783083Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5783429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5783815Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5784175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5784561Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5784951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5785364Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5785783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5786222Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5786404Z 
2025-08-26T20:20:35.5786513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5786901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5787256Z     return mod(*inputs)
2025-08-26T20:20:35.5787615Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5788103Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5788460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5788823Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5789203Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5789593Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5789991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5790413Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5790602Z 
2025-08-26T20:20:35.5790719Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5791101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5791465Z     return mod(*inputs)
2025-08-26T20:20:35.5791826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5792221Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5792677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5793058Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5793449Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5793862Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5794278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5794697Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5795116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5795543Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5795990Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5796388Z     query, key, value = [
2025-08-26T20:20:35.5796812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5797262Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5797440Z 
2025-08-26T20:20:35.5797550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5797927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5798265Z     return mod(*inputs)
2025-08-26T20:20:35.5798606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5798981Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5799306Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5799643Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5799988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5800362Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5800736Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5801129Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5801504Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5801885Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5802288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5802696Z     query, key, value = [
2025-08-26T20:20:35.5803062Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5803486Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5803650Z 
2025-08-26T20:20:35.5803757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5804113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5804434Z     return mod(*inputs)
2025-08-26T20:20:35.5804765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5805119Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5805451Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5805784Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5806137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5806507Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5806873Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5807268Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5807667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5808072Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5808499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5808945Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5809389Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5809836Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5810041Z 
2025-08-26T20:20:35.5810152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5810542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5810861Z     return mod(*inputs)
2025-08-26T20:20:35.5811189Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5811547Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5811871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5812204Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5812554Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5812924Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5813293Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5813891Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5814273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5814756Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5815169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5815604Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5816023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5816499Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5816823Z 
2025-08-26T20:20:35.5816937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5817321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5817662Z     return mod(*inputs)
2025-08-26T20:20:35.5818009Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5818390Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5818743Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5819100Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5819471Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5819871Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5820266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5820685Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5821092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5821510Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5821942Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5822400Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5822814Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5823261Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5823460Z 
2025-08-26T20:20:35.5823566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5823929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5824261Z     return mod(*inputs)
2025-08-26T20:20:35.5824606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5824993Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5825396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5825754Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5826117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5826511Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5826890Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5827359Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5827773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5828193Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5828628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5829023Z     query, key, value = [
2025-08-26T20:20:35.5829416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5829871Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5830047Z 
2025-08-26T20:20:35.5830167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5830554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5830880Z     return mod(*inputs)
2025-08-26T20:20:35.5831241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5831671Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5832033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5832391Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5832836Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5833245Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5833654Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5834084Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5834493Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5834915Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5835363Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5835833Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5836294Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5836703Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5836867Z 
2025-08-26T20:20:35.5836981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5837366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5837712Z     return mod(*inputs)
2025-08-26T20:20:35.5838066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5838461Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5838819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5839190Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5839572Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5839967Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5840424Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5840858Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5841274Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5841696Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5842136Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5842594Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5843014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5843424Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5843573Z 
2025-08-26T20:20:35.5843693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5844047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5844365Z     return mod(*inputs)
2025-08-26T20:20:35.5844699Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5845062Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5845404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5845759Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5846106Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5846517Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5846888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5847319Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5847724Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5848144Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5848574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.5849039Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.5849248Z 
2025-08-26T20:20:35.5849358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5849737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5850080Z     return mod(*inputs)
2025-08-26T20:20:35.5850430Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5850801Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5851149Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5851499Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5851848Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5852208Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5852581Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5852976Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5853360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5853746Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5854148Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.5854598Z     return self.output_linear(x)
2025-08-26T20:20:35.5854738Z 
2025-08-26T20:20:35.5854846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5855217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5855552Z     return mod(*inputs)
2025-08-26T20:20:35.5855894Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5856272Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5856598Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5856938Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5857278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5857640Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5858017Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5858431Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5858854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5859278Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5859459Z 
2025-08-26T20:20:35.5859568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5859936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5860313Z     return mod(*inputs)
2025-08-26T20:20:35.5860651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5861034Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5861374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5861713Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5862076Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5862464Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5862850Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5863259Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5863674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5864108Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5864286Z 
2025-08-26T20:20:35.5864394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5864759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5865097Z     return mod(*inputs)
2025-08-26T20:20:35.5865442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5865809Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5866158Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5866526Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5866897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5867293Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5867677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5868090Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5868561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5868996Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5869168Z 
2025-08-26T20:20:35.5869286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5869647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5869982Z     return mod(*inputs)
2025-08-26T20:20:35.5870330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5870705Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5871046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5871398Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5871763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5872149Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5872620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5873049Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5873463Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5873887Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5874334Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5874775Z     query, key, value = [
2025-08-26T20:20:35.5875157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5875604Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5875774Z 
2025-08-26T20:20:35.5875895Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5876269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5876598Z     return mod(*inputs)
2025-08-26T20:20:35.5876948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5877323Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5877651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5877990Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5878331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5878699Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5879067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5879460Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5879831Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5880215Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5880621Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5880986Z     query, key, value = [
2025-08-26T20:20:35.5881345Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5881759Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5881928Z 
2025-08-26T20:20:35.5882032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5882386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5882709Z     return mod(*inputs)
2025-08-26T20:20:35.5883067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5883434Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5883754Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5884084Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5884422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5884784Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5885160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5885584Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5885994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5886419Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5886835Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5887271Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5887694Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5888143Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5888349Z 
2025-08-26T20:20:35.5888460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5888851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5889170Z     return mod(*inputs)
2025-08-26T20:20:35.5889498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5889858Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5890171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5890505Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5890851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5891222Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5891591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5891971Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5892357Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5892735Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5893175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5893595Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5894008Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5894456Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5894674Z 
2025-08-26T20:20:35.5894784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5895158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5895509Z     return mod(*inputs)
2025-08-26T20:20:35.5895868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5896254Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5896599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5897001Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5897368Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5897754Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5898143Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5898546Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5898923Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5899314Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5899720Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5900154Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5900597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5901065Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5901285Z 
2025-08-26T20:20:35.5901396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5901790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5902135Z     return mod(*inputs)
2025-08-26T20:20:35.5902464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5902862Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5903191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5903543Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5903919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5904301Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5904702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5905134Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5905547Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5905968Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5906392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5906790Z     query, key, value = [
2025-08-26T20:20:35.5907169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5907611Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5907786Z 
2025-08-26T20:20:35.5907903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5908269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5908606Z     return mod(*inputs)
2025-08-26T20:20:35.5908956Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5909332Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5909673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5910031Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5910399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5910798Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5911241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5911649Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5912057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5912467Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5912987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5913460Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5913913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5914328Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5914657Z 
2025-08-26T20:20:35.5914771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5915156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5915483Z     return mod(*inputs)
2025-08-26T20:20:35.5915834Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5916212Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5916559Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5916912Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5917277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5917749Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5918142Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5918553Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5918959Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5919364Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5919791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5920241Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5920676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5921072Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5921229Z 
2025-08-26T20:20:35.5921337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5921709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5922047Z     return mod(*inputs)
2025-08-26T20:20:35.5922397Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5922764Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5923109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5923476Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5923851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5924238Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5924619Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5925035Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5925434Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5925847Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5926335Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.5926801Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.5927005Z 
2025-08-26T20:20:35.5927114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5927488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5927823Z     return mod(*inputs)
2025-08-26T20:20:35.5928166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5928545Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5928891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5929265Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5929627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5930015Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5930406Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5930818Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5931220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5931637Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5932063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.5932512Z     return self.output_linear(x)
2025-08-26T20:20:35.5932646Z 
2025-08-26T20:20:35.5932765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5933146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5933501Z     return mod(*inputs)
2025-08-26T20:20:35.5933865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5934259Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5934617Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5934983Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5935357Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5935795Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5936198Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5936621Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5937068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5937517Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5937704Z 
2025-08-26T20:20:35.5937816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5938201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5938562Z     return mod(*inputs)
2025-08-26T20:20:35.5938912Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5939299Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5939668Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5940045Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5940415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5940864Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5941275Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5941700Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5942159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5942608Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5942795Z 
2025-08-26T20:20:35.5942905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5943281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5943629Z     return mod(*inputs)
2025-08-26T20:20:35.5943977Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5944360Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5944714Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5945078Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5945455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5945855Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5946253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5946672Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5947153Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.5947604Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.5947779Z 
2025-08-26T20:20:35.5947888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5948265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5948603Z     return mod(*inputs)
2025-08-26T20:20:35.5948948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5949315Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5949664Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5950030Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5950394Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.5950785Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.5951169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5951582Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5951757Z 
2025-08-26T20:20:35.5951869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5952243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5952650Z     return mod(*inputs)
2025-08-26T20:20:35.5953002Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5953392Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5953750Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5954129Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5954517Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5954909Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5955298Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5955754Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5956161Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5956564Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5956998Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5957386Z     query, key, value = [
2025-08-26T20:20:35.5957766Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5958206Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5958383Z 
2025-08-26T20:20:35.5958491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5958862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5959197Z     return mod(*inputs)
2025-08-26T20:20:35.5959544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5959916Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5960260Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5960611Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5960978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5961369Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5961837Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5962251Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5962655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5963066Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5963488Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5963876Z     query, key, value = [
2025-08-26T20:20:35.5964256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5964700Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5964869Z 
2025-08-26T20:20:35.5964989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5965361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5965707Z     return mod(*inputs)
2025-08-26T20:20:35.5966062Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5966452Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5966800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5967166Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5967550Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5967942Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5968346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5968764Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5969187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5969613Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5970094Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5970564Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5971008Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5971495Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5971723Z 
2025-08-26T20:20:35.5971836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5972225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5972574Z     return mod(*inputs)
2025-08-26T20:20:35.5972927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5973312Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5973670Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5974040Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5974414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5974815Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5975223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5975651Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5976064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5976514Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5976953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5977416Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5977867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5978342Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5978562Z 
2025-08-26T20:20:35.5978676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5979062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5979404Z     return mod(*inputs)
2025-08-26T20:20:35.5979763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5980140Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5980497Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5980861Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5981244Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5981632Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5982012Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5982421Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5982823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5983228Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5983645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5984097Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5984528Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.5985054Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.5985269Z 
2025-08-26T20:20:35.5985389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5985766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5986108Z     return mod(*inputs)
2025-08-26T20:20:35.5986467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5986856Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5987207Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5987569Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5987950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5988349Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5988755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5989179Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5989588Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5990008Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5990452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.5990857Z     query, key, value = [
2025-08-26T20:20:35.5991289Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.5991754Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.5991949Z 
2025-08-26T20:20:35.5992060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5992440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5992870Z     return mod(*inputs)
2025-08-26T20:20:35.5993230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.5993621Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.5993986Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.5994378Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.5994746Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.5995154Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.5995551Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.5995990Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.5996409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.5996808Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.5997254Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.5997729Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.5998184Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.5998607Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.5998763Z 
2025-08-26T20:20:35.5998871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.5999285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.5999643Z     return mod(*inputs)
2025-08-26T20:20:35.6000054Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6000429Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6000797Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6001171Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6001563Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6001962Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6002358Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6002776Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6003204Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6003633Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6004084Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6004540Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6004999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6005421Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6005570Z 
2025-08-26T20:20:35.6005687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6006077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6006459Z     return mod(*inputs)
2025-08-26T20:20:35.6006804Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6007181Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6007529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6007878Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6008245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6008631Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6009022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6009435Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6009831Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6010247Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6010676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.6011136Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.6011338Z 
2025-08-26T20:20:35.6011449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6011826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6012161Z     return mod(*inputs)
2025-08-26T20:20:35.6012511Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6012907Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6013242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6013601Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6013964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6014348Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6015883Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6016309Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6016710Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6017141Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6017577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.6017967Z     return self.output_linear(x)
2025-08-26T20:20:35.6018110Z 
2025-08-26T20:20:35.6018220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6018438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6018507Z     return mod(*inputs)
2025-08-26T20:20:35.6018748Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6018832Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6019046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6019128Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6019360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6019454Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6019697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6019874Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6020133Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6020254Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6020258Z 
2025-08-26T20:20:35.6020375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6020580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6020648Z     return mod(*inputs)
2025-08-26T20:20:35.6020891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6020963Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6021183Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6021258Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6021490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6021589Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6021822Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6021941Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6022189Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6022316Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6022320Z 
2025-08-26T20:20:35.6022429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6022630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6022707Z     return mod(*inputs)
2025-08-26T20:20:35.6022940Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6023020Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6023228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6023302Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6023574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6023670Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6023909Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6024019Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6024263Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6024389Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6024396Z 
2025-08-26T20:20:35.6024505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6024714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6024782Z     return mod(*inputs)
2025-08-26T20:20:35.6025025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6025098Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6025310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6025394Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6025625Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6025724Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6025958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6026120Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6026359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6026478Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6026742Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6026815Z     query, key, value = [
2025-08-26T20:20:35.6027089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6027205Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6027209Z 
2025-08-26T20:20:35.6027318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6027530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6027601Z     return mod(*inputs)
2025-08-26T20:20:35.6027845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6027917Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6028131Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6028214Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6028444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6028542Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6028779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6028886Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6029122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6029238Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6029501Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6029574Z     query, key, value = [
2025-08-26T20:20:35.6029891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6030005Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6030009Z 
2025-08-26T20:20:35.6030117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6030329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6030396Z     return mod(*inputs)
2025-08-26T20:20:35.6030636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6030712Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6030925Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6031009Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6031244Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6031342Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6031583Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6031694Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6031940Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6032056Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6032329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6032518Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6032848Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6033026Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6033030Z 
2025-08-26T20:20:35.6033141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6033359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6033429Z     return mod(*inputs)
2025-08-26T20:20:35.6033683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6033759Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6033978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6034065Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6034301Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6034404Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6034651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6034772Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6035014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6035127Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6035390Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6035526Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6035782Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6035940Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6035944Z 
2025-08-26T20:20:35.6036102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6036323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6036391Z     return mod(*inputs)
2025-08-26T20:20:35.6036640Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6036714Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6036938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6037014Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6037254Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6037354Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6037597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6037720Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6037957Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6038070Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6038336Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6038472Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6038727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6038932Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6038935Z 
2025-08-26T20:20:35.6039054Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6039275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6039348Z     return mod(*inputs)
2025-08-26T20:20:35.6039601Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6039674Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6039964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6040044Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6040281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6040383Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6040630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6040750Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6040991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6041105Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6041378Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6041450Z     query, key, value = [
2025-08-26T20:20:35.6041734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6041853Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6041858Z 
2025-08-26T20:20:35.6041976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6042191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6042259Z     return mod(*inputs)
2025-08-26T20:20:35.6042511Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6042632Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6042863Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6042940Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6043177Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6043280Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6043522Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6043641Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6043878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6043992Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6044266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6044393Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6044630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6044719Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6044722Z 
2025-08-26T20:20:35.6044831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6045027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6045091Z     return mod(*inputs)
2025-08-26T20:20:35.6045366Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6045435Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6045644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6045719Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6045937Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6046032Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6046254Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6046362Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6046576Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6046683Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6046938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6047068Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6047325Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6047417Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6047421Z 
2025-08-26T20:20:35.6047532Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6047733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6047799Z     return mod(*inputs)
2025-08-26T20:20:35.6048045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6048117Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6048339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6048413Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6048643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6048781Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6049019Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6049136Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6049363Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6049480Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6049735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.6049891Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.6049895Z 
2025-08-26T20:20:35.6050005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6050197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6050268Z     return mod(*inputs)
2025-08-26T20:20:35.6050492Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6050561Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6050767Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6050839Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6051061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6051147Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6051420Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6051531Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6051751Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6051871Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6052122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.6052206Z     return self.output_linear(x)
2025-08-26T20:20:35.6052210Z 
2025-08-26T20:20:35.6052318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6052518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6052587Z     return mod(*inputs)
2025-08-26T20:20:35.6052811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6052886Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6053094Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6053168Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6053404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6053495Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6053737Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6053844Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6054100Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6054221Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6054228Z 
2025-08-26T20:20:35.6054334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6054545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6054611Z     return mod(*inputs)
2025-08-26T20:20:35.6054891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6054975Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6055175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6055254Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6055472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6055565Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6055788Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6055894Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6056137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6056255Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6056258Z 
2025-08-26T20:20:35.6056368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6056560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6056631Z     return mod(*inputs)
2025-08-26T20:20:35.6056852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6056920Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6057128Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6057241Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6057467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6057555Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6057780Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6057895Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6058140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6058267Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6058271Z 
2025-08-26T20:20:35.6058379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6058585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6058655Z     return mod(*inputs)
2025-08-26T20:20:35.6058887Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6058967Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6059175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6059269Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6059498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6059591Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6059842Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6059945Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6059948Z 
2025-08-26T20:20:35.6060055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6060249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6060314Z     return mod(*inputs)
2025-08-26T20:20:35.6060544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6060611Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6060855Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6060929Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6061159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6061258Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6061492Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6061607Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6061838Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6061957Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6062210Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6062283Z     query, key, value = [
2025-08-26T20:20:35.6062557Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6062669Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6062672Z 
2025-08-26T20:20:35.6062784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6062988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6063054Z     return mod(*inputs)
2025-08-26T20:20:35.6063296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6063404Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6063625Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6063702Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6063942Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6064035Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6064275Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6064390Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6064618Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6064738Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6064994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6065063Z     query, key, value = [
2025-08-26T20:20:35.6065338Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6065454Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6065458Z 
2025-08-26T20:20:35.6065573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6065778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6065845Z     return mod(*inputs)
2025-08-26T20:20:35.6066091Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6066163Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6066383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6066460Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6066761Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6066882Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6067192Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6067368Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6067627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6067773Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6068366Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6068537Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6068844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6069030Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6069034Z 
2025-08-26T20:20:35.6069189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6069453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6069564Z     return mod(*inputs)
2025-08-26T20:20:35.6069856Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6069955Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6070225Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6070313Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6070633Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6070791Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6071053Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6071220Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6071476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6071658Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6071952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6072111Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6072412Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6072690Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6072696Z 
2025-08-26T20:20:35.6072861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6073111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6073255Z     return mod(*inputs)
2025-08-26T20:20:35.6073520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6073625Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6073907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6074001Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6074337Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6074453Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6074715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6074884Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6075192Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6075367Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6075663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6075846Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6076122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6076307Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6076315Z 
2025-08-26T20:20:35.6076469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6076736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6076875Z     return mod(*inputs)
2025-08-26T20:20:35.6077144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6077257Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6077536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6077628Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6077965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6078095Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6078392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6078551Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6099619Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6099885Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6100210Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6100300Z     query, key, value = [
2025-08-26T20:20:35.6100586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6100754Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6100763Z 
2025-08-26T20:20:35.6100886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6101115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6101198Z     return mod(*inputs)
2025-08-26T20:20:35.6101447Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6101543Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6101764Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6101857Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6102092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6102192Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6102439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6102561Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6102799Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6102921Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6103182Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6103331Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6103725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6103834Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6103839Z 
2025-08-26T20:20:35.6104221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6104446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6104515Z     return mod(*inputs)
2025-08-26T20:20:35.6104756Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6104845Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6105064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6105151Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6105386Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6105484Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6105730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6105843Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6106078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6106194Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6106458Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6106652Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6106897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6106997Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6107005Z 
2025-08-26T20:20:35.6107113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6107330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6107397Z     return mod(*inputs)
2025-08-26T20:20:35.6107632Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6107716Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6107927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6108013Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6108243Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6108343Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6108581Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6108691Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6108925Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6109037Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6109297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.6109441Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.6109449Z 
2025-08-26T20:20:35.6109558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6109773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6109839Z     return mod(*inputs)
2025-08-26T20:20:35.6110116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6110192Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6110406Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6110490Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6110722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6110822Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6111061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6111183Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6111415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6111527Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6111796Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.6111875Z     return self.output_linear(x)
2025-08-26T20:20:35.6111880Z 
2025-08-26T20:20:35.6111997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6112209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6112279Z     return mod(*inputs)
2025-08-26T20:20:35.6112529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6112707Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6112985Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6113065Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6113301Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6113409Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6113654Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6113779Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6114037Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6114174Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6114179Z 
2025-08-26T20:20:35.6114303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6114700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6114781Z     return mod(*inputs)
2025-08-26T20:20:35.6115025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6115109Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6115337Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6115417Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6115663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6115757Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6116008Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6116121Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6116393Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6116518Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6116523Z 
2025-08-26T20:20:35.6116633Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6116961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6117034Z     return mod(*inputs)
2025-08-26T20:20:35.6117283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6117358Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6117580Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6117667Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6117907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6118013Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6118256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6118371Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6118636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6118760Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6118764Z 
2025-08-26T20:20:35.6118884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6119097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6119174Z     return mod(*inputs)
2025-08-26T20:20:35.6119419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6119553Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6119785Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6119863Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6120112Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6120208Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6120452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6120576Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6120813Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6120939Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6121204Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6121288Z     query, key, value = [
2025-08-26T20:20:35.6121569Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6121695Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6121699Z 
2025-08-26T20:20:35.6121819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6122043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6122118Z     return mod(*inputs)
2025-08-26T20:20:35.6122365Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6122440Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6122668Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6122751Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6122998Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6123093Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6123375Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6123498Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6123733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6123856Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6124118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6124196Z     query, key, value = [
2025-08-26T20:20:35.6124476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6124592Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6124596Z 
2025-08-26T20:20:35.6124711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6124927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6125001Z     return mod(*inputs)
2025-08-26T20:20:35.6125241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6125315Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6125539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6125614Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6125850Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6125990Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6126227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6126343Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6126574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6126697Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6126952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6127095Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6127349Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6127513Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6127520Z 
2025-08-26T20:20:35.6127636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6127837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6127912Z     return mod(*inputs)
2025-08-26T20:20:35.6128152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6128225Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6128453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6128529Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6128764Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6128857Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6129096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6129208Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6129435Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6129553Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6129840Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6129983Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6130240Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6130401Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6130413Z 
2025-08-26T20:20:35.6130524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6130733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6130816Z     return mod(*inputs)
2025-08-26T20:20:35.6131054Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6131139Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6131358Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6131440Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6131683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6131781Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6132028Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6132141Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6132408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6132539Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6132777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6132914Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6133145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6133291Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6133302Z 
2025-08-26T20:20:35.6133404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6133597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6133670Z     return mod(*inputs)
2025-08-26T20:20:35.6133902Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6133983Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6134196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6134271Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6134511Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6134604Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6134844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6134952Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6135178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6135298Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6135553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6135631Z     query, key, value = [
2025-08-26T20:20:35.6135937Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6136058Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6136062Z 
2025-08-26T20:20:35.6136164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6136360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6136437Z     return mod(*inputs)
2025-08-26T20:20:35.6136671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6136752Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6136968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6137048Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6137293Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6137386Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6137641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6137752Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6137988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6138113Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6138376Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6138561Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6138812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6138916Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6138920Z 
2025-08-26T20:20:35.6139036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6139256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6139337Z     return mod(*inputs)
2025-08-26T20:20:35.6139577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6139662Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6139879Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6139958Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6140201Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6140306Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6140561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6140681Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6140924Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6141053Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6141319Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6141467Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6141723Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6141833Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6141837Z 
2025-08-26T20:20:35.6141953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6142166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6142247Z     return mod(*inputs)
2025-08-26T20:20:35.6142545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6142634Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6142859Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6142937Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6143182Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6143277Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6143533Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6143649Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6143901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6144023Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6144288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.6144448Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.6144452Z 
2025-08-26T20:20:35.6144564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6144780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6144849Z     return mod(*inputs)
2025-08-26T20:20:35.6145129Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6145215Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6145433Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6145521Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6145758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6145854Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6146104Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6146218Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6146461Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6146574Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6146851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.6146931Z     return self.output_linear(x)
2025-08-26T20:20:35.6146935Z 
2025-08-26T20:20:35.6147046Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6147265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6147336Z     return mod(*inputs)
2025-08-26T20:20:35.6147586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6147660Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6147880Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6147968Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6148204Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6148310Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6148553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6148666Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6148969Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6149100Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6149104Z 
2025-08-26T20:20:35.6149223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6149432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6149508Z     return mod(*inputs)
2025-08-26T20:20:35.6149753Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6149833Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6150066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6150146Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6150398Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6150494Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6150738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6150864Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6151121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6151254Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6151258Z 
2025-08-26T20:20:35.6151407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6151623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6151695Z     return mod(*inputs)
2025-08-26T20:20:35.6151938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6152024Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6152244Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6152328Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6152655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6152760Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6153014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6153129Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6153389Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6153508Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6153512Z 
2025-08-26T20:20:35.6153634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6153845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6153917Z     return mod(*inputs)
2025-08-26T20:20:35.6154167Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6154244Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6154472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6154552Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6154792Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6154896Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6155139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6155299Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6155303Z 
2025-08-26T20:20:35.6155416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6155620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6155695Z     return mod(*inputs)
2025-08-26T20:20:35.6155934Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6156016Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6156236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6156318Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6156565Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6156659Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6156909Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6157021Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6157266Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6157383Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6157647Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6157726Z     query, key, value = [
2025-08-26T20:20:35.6158031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6158153Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6158156Z 
2025-08-26T20:20:35.6158264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6158471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6158547Z     return mod(*inputs)
2025-08-26T20:20:35.6158784Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6158868Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6159079Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6159166Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6159396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6159493Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6159745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6159853Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6160091Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6160205Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6160460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6160542Z     query, key, value = [
2025-08-26T20:20:35.6160816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6160929Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6160937Z 
2025-08-26T20:20:35.6161049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6161253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6161324Z     return mod(*inputs)
2025-08-26T20:20:35.6161594Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6161668Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6161890Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6161965Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6162202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6162294Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6162536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6162648Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6162878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6163000Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6163268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6163411Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6163677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6163837Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6163848Z 
2025-08-26T20:20:35.6163956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6164182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6164304Z     return mod(*inputs)
2025-08-26T20:20:35.6164539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6164622Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6164872Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6164949Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6165186Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6165277Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6165532Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6165642Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6165877Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6165999Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6166273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6166417Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6166660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6166818Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6166829Z 
2025-08-26T20:20:35.6166936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6167140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6167215Z     return mod(*inputs)
2025-08-26T20:20:35.6167453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6167533Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6167813Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6167902Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6168177Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6168270Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6168510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6168618Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6168846Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6168964Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6169219Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6169356Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6169621Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6169782Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6169786Z 
2025-08-26T20:20:35.6169892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6170094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6170169Z     return mod(*inputs)
2025-08-26T20:20:35.6170401Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6170479Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6170726Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6170801Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6171036Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6171131Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6171373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6171480Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6171723Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6171840Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6172108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6172190Z     query, key, value = [
2025-08-26T20:20:35.6172455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6172576Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6172580Z 
2025-08-26T20:20:35.6172691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6172894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6172968Z     return mod(*inputs)
2025-08-26T20:20:35.6173201Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6173281Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6173492Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6173568Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6173810Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6173903Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6174147Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6174291Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6174528Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6174641Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6174895Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6175037Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6175278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6175379Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6175383Z 
2025-08-26T20:20:35.6175487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6175688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6175764Z     return mod(*inputs)
2025-08-26T20:20:35.6176000Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6176078Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6176292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6176366Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6176605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6176696Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6176980Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6177088Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6177327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6177439Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6177692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6177832Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6178075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6178171Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6178175Z 
2025-08-26T20:20:35.6178280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6178485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6178560Z     return mod(*inputs)
2025-08-26T20:20:35.6178793Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6178875Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6179089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6179171Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6179401Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6179491Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6179739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6179847Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6180088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6180199Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6180493Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.6180646Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.6180650Z 
2025-08-26T20:20:35.6180757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6180968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6181036Z     return mod(*inputs)
2025-08-26T20:20:35.6181269Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6181348Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6181562Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6181644Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6181873Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6181975Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6182209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6182317Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6182553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6182663Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6182921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.6183036Z     return self.output_linear(x)
2025-08-26T20:20:35.6183040Z 
2025-08-26T20:20:35.6183147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6183374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6183439Z     return mod(*inputs)
2025-08-26T20:20:35.6183697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6183768Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6183994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6184078Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6184313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6184413Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6184664Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6184777Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6185035Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6185159Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6185163Z 
2025-08-26T20:20:35.6185277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6185500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6185573Z     return mod(*inputs)
2025-08-26T20:20:35.6185836Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6185910Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6186151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6186234Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6186491Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6186586Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6186882Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6186997Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6187254Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6187386Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6187390Z 
2025-08-26T20:20:35.6187499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6187712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6187782Z     return mod(*inputs)
2025-08-26T20:20:35.6188033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6188112Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6188342Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6188424Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6188662Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6188754Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6189003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6189110Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6189371Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6189538Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6189542Z 
2025-08-26T20:20:35.6189657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6189868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6189934Z     return mod(*inputs)
2025-08-26T20:20:35.6190181Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6190254Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6190490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6190566Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6190810Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6190914Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6191155Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6191270Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6191507Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6191622Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6191891Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6191963Z     query, key, value = [
2025-08-26T20:20:35.6192245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6192359Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6192363Z 
2025-08-26T20:20:35.6192477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6192789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6192863Z     return mod(*inputs)
2025-08-26T20:20:35.6193139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6193265Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6193495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6193574Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6193813Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6193914Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6194158Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6194281Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6194521Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6194646Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6194914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6194989Z     query, key, value = [
2025-08-26T20:20:35.6195275Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6195391Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6195395Z 
2025-08-26T20:20:35.6195515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6195725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6195795Z     return mod(*inputs)
2025-08-26T20:20:35.6196083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6196158Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6196385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6196467Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6196703Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6196807Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6197048Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6197167Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6197404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6197529Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6197790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6197930Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6198191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6198355Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6198360Z 
2025-08-26T20:20:35.6198479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6198685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6198751Z     return mod(*inputs)
2025-08-26T20:20:35.6199001Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6199079Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6199303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6199379Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6199624Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6199805Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6200052Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6200172Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6200410Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6200534Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6200796Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6200945Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6201206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6201374Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6201378Z 
2025-08-26T20:20:35.6201498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6201712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6201792Z     return mod(*inputs)
2025-08-26T20:20:35.6202038Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6202116Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6202346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6202470Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6202722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6202818Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6203073Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6203190Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6203418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6203537Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6203790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6203922Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6204177Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6204331Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6204334Z 
2025-08-26T20:20:35.6204448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6204657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6204732Z     return mod(*inputs)
2025-08-26T20:20:35.6204967Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6205038Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6205256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6205330Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6205567Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6205665Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6205908Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6206026Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6206303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6206427Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6206689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6206759Z     query, key, value = [
2025-08-26T20:20:35.6207036Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6207152Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6207159Z 
2025-08-26T20:20:35.6207277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6207484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6207567Z     return mod(*inputs)
2025-08-26T20:20:35.6207809Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6207882Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6208111Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6208189Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6208433Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6208524Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6208773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6208923Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6209152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6209274Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6209532Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6209673Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6209919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6210011Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6210015Z 
2025-08-26T20:20:35.6210131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6210336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6210413Z     return mod(*inputs)
2025-08-26T20:20:35.6210652Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6210727Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6210958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6211035Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6211285Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6211377Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6211620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6211729Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6211956Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6212077Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6212331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6212521Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6212775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6212869Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6212873Z 
2025-08-26T20:20:35.6212990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6213202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6213278Z     return mod(*inputs)
2025-08-26T20:20:35.6213520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6213597Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6213821Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6213898Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6214147Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6214241Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6214683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6214800Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6215033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6215155Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6215498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.6215649Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.6215653Z 
2025-08-26T20:20:35.6215761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6215968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6216043Z     return mod(*inputs)
2025-08-26T20:20:35.6216280Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6216363Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6216575Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6216659Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6216889Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6216984Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6217229Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6217336Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6217576Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6217689Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6217943Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.6218030Z     return self.output_linear(x)
2025-08-26T20:20:35.6218034Z 
2025-08-26T20:20:35.6218141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6218352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6218422Z     return mod(*inputs)
2025-08-26T20:20:35.6218657Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6218738Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6219003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6219090Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6219323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6219421Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6219660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6219768Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6220026Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6220150Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6220154Z 
2025-08-26T20:20:35.6220269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6220479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6220546Z     return mod(*inputs)
2025-08-26T20:20:35.6220790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6220862Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6221083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6221158Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6221391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6221529Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6221760Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6221873Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6222122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6222248Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6222252Z 
2025-08-26T20:20:35.6222358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6222559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6222631Z     return mod(*inputs)
2025-08-26T20:20:35.6222860Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6222938Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6223151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6223225Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6223457Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6223550Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6223792Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6223897Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6224148Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6224266Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6224270Z 
2025-08-26T20:20:35.6224375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6224588Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6224654Z     return mod(*inputs)
2025-08-26T20:20:35.6224893Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6224965Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6225212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6225297Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6225529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6225626Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6225859Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6225968Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6225982Z 
2025-08-26T20:20:35.6226089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6226288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6226359Z     return mod(*inputs)
2025-08-26T20:20:35.6226598Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6226676Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6226901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6226974Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6227212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6227303Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6227546Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6227698Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6227934Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6228052Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6228310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6228387Z     query, key, value = [
2025-08-26T20:20:35.6228653Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6228766Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6228778Z 
2025-08-26T20:20:35.6228885Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6229088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6229165Z     return mod(*inputs)
2025-08-26T20:20:35.6229401Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6229479Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6229711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6229786Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6230024Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6230114Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6230357Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6230463Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6230690Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6230816Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6231073Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6231149Z     query, key, value = [
2025-08-26T20:20:35.6231451Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6231566Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6231577Z 
2025-08-26T20:20:35.6231682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6231892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6231965Z     return mod(*inputs)
2025-08-26T20:20:35.6232202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6232287Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6232517Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6232906Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6233159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6233258Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6233513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6233628Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6233871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6233995Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6234253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6234437Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6234699Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6234872Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6234876Z 
2025-08-26T20:20:35.6234988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6235197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6235273Z     return mod(*inputs)
2025-08-26T20:20:35.6235517Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6235601Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6235817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6235897Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6236140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6236233Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6236489Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6236599Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6236833Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6236953Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6237212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6237356Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6237611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6237782Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6237785Z 
2025-08-26T20:20:35.6237896Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6238154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6238232Z     return mod(*inputs)
2025-08-26T20:20:35.6238472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6238556Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6238772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6238849Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6239091Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6239187Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6239436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6239546Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6239790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6239904Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6240165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6240308Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6240559Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6240765Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6240768Z 
2025-08-26T20:20:35.6240877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6241085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6241162Z     return mod(*inputs)
2025-08-26T20:20:35.6241406Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6241489Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6241708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6241789Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6242021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6242112Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6242366Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6242475Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6242712Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6242830Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6243088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6243165Z     query, key, value = [
2025-08-26T20:20:35.6243436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6243559Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6243562Z 
2025-08-26T20:20:35.6243671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6243891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6243957Z     return mod(*inputs)
2025-08-26T20:20:35.6244196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6244277Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6244531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6244617Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6244852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6244955Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6245197Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6245305Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6245547Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6245658Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6245916Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6246057Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6246301Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6246401Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6246405Z 
2025-08-26T20:20:35.6246510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6246718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6246784Z     return mod(*inputs)
2025-08-26T20:20:35.6247018Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6247135Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6247347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6247430Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6247659Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6247749Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6247991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6248097Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6248331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6248441Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6248696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6248832Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6249099Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6249199Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6249203Z 
2025-08-26T20:20:35.6249309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6249520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6249586Z     return mod(*inputs)
2025-08-26T20:20:35.6249820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6249901Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6250118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6250200Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6250425Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6250517Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6250799Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6250910Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6251142Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6251253Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6251505Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.6251658Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.6251662Z 
2025-08-26T20:20:35.6251767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6251979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6252045Z     return mod(*inputs)
2025-08-26T20:20:35.6252287Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6252361Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6252571Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6252655Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6252884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6252980Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6253250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6253356Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6253587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6253700Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6253960Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.6254037Z     return self.output_linear(x)
2025-08-26T20:20:35.6254040Z 
2025-08-26T20:20:35.6254152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6254363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6254427Z     return mod(*inputs)
2025-08-26T20:20:35.6254666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6254741Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6254961Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6255036Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6255265Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6255363Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6255596Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6255709Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6255952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6256072Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6256086Z 
2025-08-26T20:20:35.6256193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6256392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6256465Z     return mod(*inputs)
2025-08-26T20:20:35.6256731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6256814Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6257028Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6257101Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6257337Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6257430Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6257668Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6257779Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6258027Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6258152Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6258156Z 
2025-08-26T20:20:35.6258264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6258472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6258539Z     return mod(*inputs)
2025-08-26T20:20:35.6258778Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6258849Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6259061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6259142Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6259415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6259513Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6259752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6259857Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6260110Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6260226Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6260230Z 
2025-08-26T20:20:35.6260342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6260544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6260609Z     return mod(*inputs)
2025-08-26T20:20:35.6260854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6260925Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6261141Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6261217Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6261455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6261545Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6261780Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6261895Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6262125Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6262244Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6262502Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6262572Z     query, key, value = [
2025-08-26T20:20:35.6262885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6263002Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6263005Z 
2025-08-26T20:20:35.6263120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6263320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6263386Z     return mod(*inputs)
2025-08-26T20:20:35.6263630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6263703Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6263928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6264003Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6264240Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6264337Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6264573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6264688Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6264920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6265041Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6265295Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6265404Z     query, key, value = [
2025-08-26T20:20:35.6265686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6265799Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6265803Z 
2025-08-26T20:20:35.6265921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6266131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6266203Z     return mod(*inputs)
2025-08-26T20:20:35.6266444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6266516Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6266740Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6266816Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6267056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6267168Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6267409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6267521Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6267761Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6267873Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6268139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6268274Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6268531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6268702Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6268706Z 
2025-08-26T20:20:35.6268813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6269033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6269143Z     return mod(*inputs)
2025-08-26T20:20:35.6269386Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6269459Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6269669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6269752Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6269979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6270077Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6270315Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6270422Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6270656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6270770Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6271029Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6271162Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6271419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6271581Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6271584Z 
2025-08-26T20:20:35.6271731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6271944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6272009Z     return mod(*inputs)
2025-08-26T20:20:35.6272255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6272328Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6272619Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6272716Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6272958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6273060Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6273306Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6273425Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6273669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6273785Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6274125Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6274256Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6274520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:35.6274677Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:35.6274681Z 
2025-08-26T20:20:35.6274787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6275011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6275080Z     return mod(*inputs)
2025-08-26T20:20:35.6275322Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6275395Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6275656Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6275742Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6275972Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6276072Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6276315Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6276424Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6276668Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6276784Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6277055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:35.6277126Z     query, key, value = [
2025-08-26T20:20:35.6277407Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:35.6277524Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:35.6277528Z 
2025-08-26T20:20:35.6277639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6277854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6277922Z     return mod(*inputs)
2025-08-26T20:20:35.6278169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6278288Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6278512Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6278596Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6278835Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6278936Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6279179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6279299Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6279536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6279651Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6279921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6280061Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6280319Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6280417Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6280421Z 
2025-08-26T20:20:35.6280533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6280751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6280819Z     return mod(*inputs)
2025-08-26T20:20:35.6281068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6281143Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6281361Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6281451Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6281692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6281792Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6282073Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6282193Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6282424Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6282537Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6282804Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:35.6282939Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:35.6283198Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:35.6283290Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:35.6283294Z 
2025-08-26T20:20:35.6283401Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6283621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6283688Z     return mod(*inputs)
2025-08-26T20:20:35.6283934Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6284009Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6284236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6284312Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6284545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6285583Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6285827Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6285946Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6286192Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6286308Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6286581Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:35.6286727Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:35.6286731Z 
2025-08-26T20:20:35.6286848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6287059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6287130Z     return mod(*inputs)
2025-08-26T20:20:35.6287392Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6287464Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6287689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6287767Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6288006Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:35.6288099Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:35.6288339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6288455Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6288684Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:35.6288804Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:35.6289062Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:35.6289139Z     return self.output_linear(x)
2025-08-26T20:20:35.6289142Z 
2025-08-26T20:20:35.6289295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6289500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6289573Z     return mod(*inputs)
2025-08-26T20:20:35.6289805Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6289877Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6290096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6290173Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6290410Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6290501Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6290745Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6290852Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6291101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6291230Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6291234Z 
2025-08-26T20:20:35.6291340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6291546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6291610Z     return mod(*inputs)
2025-08-26T20:20:35.6291881Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6291958Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6292169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6292254Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6292480Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6292577Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6292812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6292921Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6293177Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6293298Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6293302Z 
2025-08-26T20:20:35.6293415Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6293618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6293683Z     return mod(*inputs)
2025-08-26T20:20:35.6293927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6294001Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6294222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6294297Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6294528Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6294628Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6294866Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6294985Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6295232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:35.6295395Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:35.6295400Z 
2025-08-26T20:20:35.6295511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6295714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6295788Z     return mod(*inputs)
2025-08-26T20:20:35.6296029Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:35.6296112Z     x = self.bert(x, segment_label)
2025-08-26T20:20:35.6296327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:35.6296407Z     x = transformer.forward(x, mask)
2025-08-26T20:20:35.6296649Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:35.6296743Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:35.6296992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:35.6297103Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:35.6297106Z 
2025-08-26T20:20:35.6297224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6297427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6297495Z     return mod(*inputs)
2025-08-26T20:20:35.6297739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-08-26T20:20:35.6297838Z     return self.next_sentence(x), self.mask_lm(x)
2025-08-26T20:20:35.6298113Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward
2025-08-26T20:20:35.6298202Z     return self.softmax(self.linear(x[:, 0]))
2025-08-26T20:20:35.6298206Z 
2025-08-26T20:20:35.6298312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:35.6298526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:35.6298593Z     return mod(*inputs)
2025-08-26T20:20:35.6298838Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-08-26T20:20:35.6298933Z     return self.next_sentence(x), self.mask_lm(x)
2025-08-26T20:20:35.6299171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward
2025-08-26T20:20:35.6299263Z     return self.softmax(self.linear(x))
2025-08-26T20:20:35.6299267Z 
2025-08-26T20:20:53.9482992Z Compilation time (from dynamo_timed): 41.933181959
2025-08-26T20:20:53.9545078Z pass
2025-08-26T20:20:53.9545509Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:53.9546414Z TIMING: _recursive_pre_grad_passes:0.00934 _recursive_joint_graph_passes:1.22117 _recursive_post_grad_passes:0.93376 async_compile.wait:0.69336 code_gen:16.93289 inductor_compile:22.12011 backend_compile:34.94094 gc:0.00279 entire_frame_compile:41.93318 total_wall_time:41.93318
2025-08-26T20:20:53.9547520Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5366 | FakeTensorMode.__torch_dispatch__:17317 | attempt fast:84 | fast is_contiguous:84 | ProxyTorchDispatchMode.__torch_dispatch__:6314
2025-08-26T20:20:53.9548172Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique)
2025-08-26T20:20:59.8599669Z 
2025-08-26T20:21:02.8699979Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:21:02.8703672Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:21:02.8709465Z cpu  eval  Background_Matting                 
2025-08-26T20:21:02.9114195Z Compilation time (from dynamo_timed): 0
2025-08-26T20:21:02.9114765Z pass_due_to_skip
2025-08-26T20:21:02.9115103Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:02.9115468Z TIMING: total_wall_time:0
2025-08-26T20:21:02.9116069Z STATS: call_* op count: 0
2025-08-26T20:21:02.9116350Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-26T20:21:06.3962014Z 
2025-08-26T20:21:08.1865584Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:21:08.1865892Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:21:08.1874778Z cpu  eval  LearningToPaint                    
2025-08-26T20:21:08.2734964Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:08.3030686Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:08.3309766Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:14.7374323Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7379766Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7384402Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7384781Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7385019Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7385247Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7385480Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7385703Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7385939Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7386165Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7386392Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7386617Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7386846Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7387417Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7387648Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7387871Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7388098Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7388318Z cudagraph partition due to non gpu ops
2025-08-26T20:21:14.7388627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7389043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7389414Z     return mod(*inputs)
2025-08-26T20:21:14.7389819Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-08-26T20:21:14.7390228Z     x = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7390386Z 
2025-08-26T20:21:14.7390544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7390946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7391308Z     return mod(*inputs)
2025-08-26T20:21:14.7391692Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-08-26T20:21:14.7392085Z     x = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7392223Z 
2025-08-26T20:21:14.7392342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7393188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7393549Z     return mod(*inputs)
2025-08-26T20:21:14.7393918Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:14.7394290Z     x = self.layer1(x)
2025-08-26T20:21:14.7394638Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7395023Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7395174Z 
2025-08-26T20:21:14.7395282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7395667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7396017Z     return mod(*inputs)
2025-08-26T20:21:14.7396355Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:14.7396722Z     x = self.layer1(x)
2025-08-26T20:21:14.7397213Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7397598Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7397744Z 
2025-08-26T20:21:14.7397854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7398238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7398581Z     return mod(*inputs)
2025-08-26T20:21:14.7398942Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:14.7399315Z     x = self.layer1(x)
2025-08-26T20:21:14.7399645Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:14.7400019Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:14.7400160Z 
2025-08-26T20:21:14.7400267Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7400645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7400994Z     return mod(*inputs)
2025-08-26T20:21:14.7401377Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:14.7401735Z     x = self.layer1(x)
2025-08-26T20:21:14.7402066Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-26T20:21:14.7402446Z     out += self.shortcut(x)
2025-08-26T20:21:14.7402565Z 
2025-08-26T20:21:14.7402671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7403153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7403510Z     return mod(*inputs)
2025-08-26T20:21:14.7403902Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:14.7404257Z     x = self.layer1(x)
2025-08-26T20:21:14.7404598Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7404974Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7405112Z 
2025-08-26T20:21:14.7405225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7405606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7405953Z     return mod(*inputs)
2025-08-26T20:21:14.7406297Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:14.7406659Z     x = self.layer1(x)
2025-08-26T20:21:14.7406996Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7407366Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7407512Z 
2025-08-26T20:21:14.7407618Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7408002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7408358Z     return mod(*inputs)
2025-08-26T20:21:14.7408703Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:14.7409062Z     x = self.layer1(x)
2025-08-26T20:21:14.7409398Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:14.7409771Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:14.7409903Z 
2025-08-26T20:21:14.7410022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7410436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7410777Z     return mod(*inputs)
2025-08-26T20:21:14.7411108Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:14.7411475Z     x = self.layer1(x)
2025-08-26T20:21:14.7411887Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-26T20:21:14.7412235Z     out = F.relu(out)
2025-08-26T20:21:14.7412342Z 
2025-08-26T20:21:14.7412447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7412817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7413152Z     return mod(*inputs)
2025-08-26T20:21:14.7413481Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:14.7413848Z     x = self.layer2(x)
2025-08-26T20:21:14.7414180Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7414816Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7414964Z 
2025-08-26T20:21:14.7415076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7415443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7415776Z     return mod(*inputs)
2025-08-26T20:21:14.7416107Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:14.7416478Z     x = self.layer2(x)
2025-08-26T20:21:14.7416796Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7417160Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7417305Z 
2025-08-26T20:21:14.7417412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7417794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7418182Z     return mod(*inputs)
2025-08-26T20:21:14.7418489Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:14.7418831Z     x = self.layer2(x)
2025-08-26T20:21:14.7419145Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:14.7419488Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:14.7419611Z 
2025-08-26T20:21:14.7419712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7420065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7420383Z     return mod(*inputs)
2025-08-26T20:21:14.7420704Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:14.7421074Z     x = self.layer2(x)
2025-08-26T20:21:14.7421390Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-26T20:21:14.7421749Z     out += self.shortcut(x)
2025-08-26T20:21:14.7421868Z 
2025-08-26T20:21:14.7421980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7422347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7422676Z     return mod(*inputs)
2025-08-26T20:21:14.7423008Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:14.7423357Z     x = self.layer2(x)
2025-08-26T20:21:14.7423683Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7424054Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7424192Z 
2025-08-26T20:21:14.7424326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7424677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7425046Z     return mod(*inputs)
2025-08-26T20:21:14.7425362Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:14.7425687Z     x = self.layer2(x)
2025-08-26T20:21:14.7426012Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7426440Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7426580Z 
2025-08-26T20:21:14.7426694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7427057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7427381Z     return mod(*inputs)
2025-08-26T20:21:14.7427711Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:14.7428109Z     x = self.layer2(x)
2025-08-26T20:21:14.7428433Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:14.7428795Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:14.7428925Z 
2025-08-26T20:21:14.7429039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7429393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7429729Z     return mod(*inputs)
2025-08-26T20:21:14.7430060Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:14.7430415Z     x = self.layer2(x)
2025-08-26T20:21:14.7430739Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-26T20:21:14.7431082Z     out = F.relu(out)
2025-08-26T20:21:14.7431189Z 
2025-08-26T20:21:14.7431294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7431661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7432038Z     return mod(*inputs)
2025-08-26T20:21:14.7432360Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:14.7432828Z     x = self.layer3(x)
2025-08-26T20:21:14.7433188Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7433580Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7433716Z 
2025-08-26T20:21:14.7433827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7434185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7434523Z     return mod(*inputs)
2025-08-26T20:21:14.7434851Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:14.7435186Z     x = self.layer3(x)
2025-08-26T20:21:14.7435492Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7435859Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7436004Z 
2025-08-26T20:21:14.7436109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7436477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7436806Z     return mod(*inputs)
2025-08-26T20:21:14.7437135Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:14.7437488Z     x = self.layer3(x)
2025-08-26T20:21:14.7437819Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:14.7438186Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:14.7438319Z 
2025-08-26T20:21:14.7438425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7438793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7439128Z     return mod(*inputs)
2025-08-26T20:21:14.7439466Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:14.7439823Z     x = self.layer3(x)
2025-08-26T20:21:14.7440144Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-26T20:21:14.7440499Z     out += self.shortcut(x)
2025-08-26T20:21:14.7440666Z 
2025-08-26T20:21:14.7440775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7441148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7441487Z     return mod(*inputs)
2025-08-26T20:21:14.7441877Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:14.7442238Z     x = self.layer3(x)
2025-08-26T20:21:14.7442559Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7442927Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7443067Z 
2025-08-26T20:21:14.7443173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7443543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7443891Z     return mod(*inputs)
2025-08-26T20:21:14.7444232Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:14.7444560Z     x = self.layer3(x)
2025-08-26T20:21:14.7444873Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7445242Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7445380Z 
2025-08-26T20:21:14.7445502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7445857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7446166Z     return mod(*inputs)
2025-08-26T20:21:14.7446522Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:14.7446864Z     x = self.layer3(x)
2025-08-26T20:21:14.7447172Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:14.7447511Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:14.7447638Z 
2025-08-26T20:21:14.7447737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7448086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7448393Z     return mod(*inputs)
2025-08-26T20:21:14.7448706Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:14.7449035Z     x = self.layer3(x)
2025-08-26T20:21:14.7449346Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-26T20:21:14.7449673Z     out = F.relu(out)
2025-08-26T20:21:14.7449772Z 
2025-08-26T20:21:14.7449879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7450216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7450526Z     return mod(*inputs)
2025-08-26T20:21:14.7450859Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:14.7451192Z     x = self.layer4(x)
2025-08-26T20:21:14.7451502Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7451835Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7451971Z 
2025-08-26T20:21:14.7452067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7452426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7452756Z     return mod(*inputs)
2025-08-26T20:21:14.7453077Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:14.7453411Z     x = self.layer4(x)
2025-08-26T20:21:14.7453718Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7454060Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7454196Z 
2025-08-26T20:21:14.7454332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7454680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7455012Z     return mod(*inputs)
2025-08-26T20:21:14.7455343Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:14.7455716Z     x = self.layer4(x)
2025-08-26T20:21:14.7456028Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:14.7456384Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:14.7456520Z 
2025-08-26T20:21:14.7456632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7456996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7457330Z     return mod(*inputs)
2025-08-26T20:21:14.7457621Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:14.7457945Z     x = self.layer4(x)
2025-08-26T20:21:14.7458241Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-26T20:21:14.7458564Z     out += self.shortcut(x)
2025-08-26T20:21:14.7458673Z 
2025-08-26T20:21:14.7458770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7459103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7459406Z     return mod(*inputs)
2025-08-26T20:21:14.7459707Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:14.7460086Z     x = self.layer4(x)
2025-08-26T20:21:14.7460383Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7460727Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7460857Z 
2025-08-26T20:21:14.7460967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7461315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7461624Z     return mod(*inputs)
2025-08-26T20:21:14.7461933Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:14.7462265Z     x = self.layer4(x)
2025-08-26T20:21:14.7462572Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:14.7462914Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:14.7463043Z 
2025-08-26T20:21:14.7463146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7463514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7463839Z     return mod(*inputs)
2025-08-26T20:21:14.7464157Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:14.7464498Z     x = self.layer4(x)
2025-08-26T20:21:14.7464837Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:14.7465179Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:14.7465302Z 
2025-08-26T20:21:14.7465409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7465753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7466056Z     return mod(*inputs)
2025-08-26T20:21:14.7466371Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:14.7466739Z     x = self.layer4(x)
2025-08-26T20:21:14.7467064Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-26T20:21:14.7467417Z     out = F.relu(out)
2025-08-26T20:21:14.7467524Z 
2025-08-26T20:21:14.7467628Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7468029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7468384Z     return mod(*inputs)
2025-08-26T20:21:14.7468714Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward
2025-08-26T20:21:14.7469083Z     x = F.avg_pool2d(x, 4)
2025-08-26T20:21:14.7469203Z 
2025-08-26T20:21:14.7469306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7469668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7470011Z     return mod(*inputs)
2025-08-26T20:21:14.7470333Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward
2025-08-26T20:21:14.7470694Z     x = self.fc(x)
2025-08-26T20:21:14.7470799Z 
2025-08-26T20:21:14.7470902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:14.7471269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:14.7471619Z     return mod(*inputs)
2025-08-26T20:21:14.7471956Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward
2025-08-26T20:21:14.7472322Z     x = torch.sigmoid(x)
2025-08-26T20:21:14.7472437Z 
2025-08-26T20:21:23.7467824Z Compilation time (from dynamo_timed): 14.497922467
2025-08-26T20:21:23.7468136Z pass
2025-08-26T20:21:23.7469690Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:23.7470571Z TIMING: _recursive_pre_grad_passes:0.00509 _recursive_joint_graph_passes:0.14513 _recursive_post_grad_passes:0.04672 async_compile.wait:0.68324 code_gen:7.92277 inductor_compile:9.26656 backend_compile:11.70226 gc:0.00182 entire_frame_compile:14.49792 total_wall_time:14.49792
2025-08-26T20:21:23.7471979Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4733 | attempt fast:38 | fast is_contiguous:38 | FakeTensor.__torch_dispatch__:2120 | ProxyTorchDispatchMode.__torch_dispatch__:1906
2025-08-26T20:21:23.7472955Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-08-26T20:21:28.1018971Z 
2025-08-26T20:21:29.0310744Z 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
2025-08-26T20:21:29.0455954Z 
2025-08-26T20:21:29.0456248Z 
2025-08-26T20:21:29.1460929Z   0% 0.00/528M [00:00<?, ?B/s]
2025-08-26T20:21:29.1465960Z 
2025-08-26T20:21:29.2524569Z  11% 56.2M/528M [00:00<00:00, 589MB/s]
2025-08-26T20:21:29.2530482Z 
2025-08-26T20:21:29.3670847Z  21% 112M/528M [00:00<00:00, 568MB/s] 
2025-08-26T20:21:29.3671284Z 
2025-08-26T20:21:29.4673455Z  32% 167M/528M [00:00<00:00, 532MB/s]
2025-08-26T20:21:29.4673689Z 
2025-08-26T20:21:29.5678867Z  42% 222M/528M [00:00<00:00, 551MB/s]
2025-08-26T20:21:29.5685022Z 
2025-08-26T20:21:29.6795632Z  52% 277M/528M [00:00<00:00, 557MB/s]
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2025-08-26T20:21:29.7915638Z  63% 330M/528M [00:00<00:00, 536MB/s]
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2025-08-26T20:21:29.8923220Z  72% 381M/528M [00:00<00:00, 517MB/s]
2025-08-26T20:21:29.8923447Z 
2025-08-26T20:21:29.9952682Z  82% 432M/528M [00:00<00:00, 520MB/s]
2025-08-26T20:21:29.9952908Z 
2025-08-26T20:21:30.0932204Z  91% 482M/528M [00:00<00:00, 516MB/s]
2025-08-26T20:21:30.0932761Z 100% 528M/528M [00:01<00:00, 528MB/s]
2025-08-26T20:21:31.6862614Z 
2025-08-26T20:21:31.6863158Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:21:31.6870238Z cpu  eval  Super_SloMo                        
2025-08-26T20:21:57.3704071Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:58.8446559Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:00.3393245Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:28.6082275Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6084789Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6085323Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6086035Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6086476Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6087190Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6091323Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6095312Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6099446Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6099705Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6099967Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6100204Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6100508Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6100736Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6100959Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6101194Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6101431Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6101657Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6101881Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6102101Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6102331Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6102558Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6102799Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6103025Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6103241Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6103706Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6103936Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6104170Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6104414Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6104649Z cudagraph partition due to non gpu ops
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2025-08-26T20:22:28.6105109Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6105331Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6105562Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6105785Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6106011Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6106232Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6106473Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6106693Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6106919Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6107144Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6107396Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6107622Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6107832Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6108048Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6108273Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6108490Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6108713Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6108926Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6109195Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6109463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6109911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6110284Z     return mod(*inputs)
2025-08-26T20:22:28.6110631Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6111032Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6111205Z 
2025-08-26T20:22:28.6111289Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6111545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6112054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6112422Z     return mod(*inputs)
2025-08-26T20:22:28.6112996Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6113381Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6113749Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-26T20:22:28.6114137Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6114309Z 
2025-08-26T20:22:28.6114574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6114960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6115309Z     return mod(*inputs)
2025-08-26T20:22:28.6115619Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6115984Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6116326Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-26T20:22:28.6116679Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6116841Z 
2025-08-26T20:22:28.6116949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6117345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6117691Z     return mod(*inputs)
2025-08-26T20:22:28.6117988Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6118351Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6118776Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-26T20:22:28.6119145Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6119306Z 
2025-08-26T20:22:28.6119419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6119782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6120116Z     return mod(*inputs)
2025-08-26T20:22:28.6120416Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6120776Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6121123Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6121461Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6121752Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6122082Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6122199Z 
2025-08-26T20:22:28.6122314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6122676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6123013Z     return mod(*inputs)
2025-08-26T20:22:28.6123312Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6123662Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6123994Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6124328Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6124621Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6124977Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6125130Z 
2025-08-26T20:22:28.6125242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6125607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6125941Z     return mod(*inputs)
2025-08-26T20:22:28.6126241Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6126655Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6127001Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6127328Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6127628Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6127983Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6128147Z 
2025-08-26T20:22:28.6128267Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6128643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6129578Z     return mod(*inputs)
2025-08-26T20:22:28.6130270Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6130844Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6131308Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6131661Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6131984Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6132363Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6132536Z 
2025-08-26T20:22:28.6132667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6133066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6133420Z     return mod(*inputs)
2025-08-26T20:22:28.6133865Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6134520Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6134891Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6135231Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6135545Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6135887Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6136010Z 
2025-08-26T20:22:28.6136134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6136530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6136884Z     return mod(*inputs)
2025-08-26T20:22:28.6137207Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6137585Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6137955Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6138349Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6138659Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6139026Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6139195Z 
2025-08-26T20:22:28.6139316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6139709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6140072Z     return mod(*inputs)
2025-08-26T20:22:28.6140387Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6140759Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6141123Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6141508Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6141814Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6142167Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6142320Z 
2025-08-26T20:22:28.6142427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6142886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6143230Z     return mod(*inputs)
2025-08-26T20:22:28.6143529Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6143887Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6144236Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6144564Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6144864Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6145209Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6145372Z 
2025-08-26T20:22:28.6145481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6145870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6146222Z     return mod(*inputs)
2025-08-26T20:22:28.6146528Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6146882Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6147244Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6147564Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6147860Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6148184Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6148301Z 
2025-08-26T20:22:28.6148410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6148845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6149190Z     return mod(*inputs)
2025-08-26T20:22:28.6149493Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6149860Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6150214Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6150536Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6150838Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6151199Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6151358Z 
2025-08-26T20:22:28.6151467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6151859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6152201Z     return mod(*inputs)
2025-08-26T20:22:28.6154274Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6154811Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6155172Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6155508Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6155809Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6156168Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6156330Z 
2025-08-26T20:22:28.6156446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6156846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6157181Z     return mod(*inputs)
2025-08-26T20:22:28.6157474Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6157827Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6158170Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6158497Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6158786Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6159228Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6159390Z 
2025-08-26T20:22:28.6159503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6159888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6160233Z     return mod(*inputs)
2025-08-26T20:22:28.6160537Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6160897Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6161244Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6161571Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6161871Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6162200Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6162319Z 
2025-08-26T20:22:28.6162429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6162810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6163148Z     return mod(*inputs)
2025-08-26T20:22:28.6163452Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6163807Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6164149Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6164473Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6164771Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6165186Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6165347Z 
2025-08-26T20:22:28.6165455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6165834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6166180Z     return mod(*inputs)
2025-08-26T20:22:28.6166481Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6166838Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6167180Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6167503Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6167800Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6168150Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6168309Z 
2025-08-26T20:22:28.6168417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6168795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6169144Z     return mod(*inputs)
2025-08-26T20:22:28.6169451Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6169814Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6170160Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6170491Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6170788Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6171140Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6171296Z 
2025-08-26T20:22:28.6171405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6171789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6172153Z     return mod(*inputs)
2025-08-26T20:22:28.6172448Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6172803Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6173192Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:28.6173526Z     x = self.down5(s5)
2025-08-26T20:22:28.6173819Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6174154Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6174268Z 
2025-08-26T20:22:28.6174374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6174741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6175078Z     return mod(*inputs)
2025-08-26T20:22:28.6175370Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6175716Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6176058Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:28.6176369Z     x = self.down5(s5)
2025-08-26T20:22:28.6176664Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6176984Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6177134Z 
2025-08-26T20:22:28.6177237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6177606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6177939Z     return mod(*inputs)
2025-08-26T20:22:28.6178233Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6178578Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6178951Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:28.6179255Z     x = self.down5(s5)
2025-08-26T20:22:28.6179539Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6179867Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6180019Z 
2025-08-26T20:22:28.6180124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6180480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6180803Z     return mod(*inputs)
2025-08-26T20:22:28.6181087Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6181417Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6181754Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:28.6182065Z     x = self.down5(s5)
2025-08-26T20:22:28.6182364Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6182717Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6182872Z 
2025-08-26T20:22:28.6182982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6183361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6183704Z     return mod(*inputs)
2025-08-26T20:22:28.6184011Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6184371Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6184735Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:28.6185077Z     x = self.up1(x, s5)
2025-08-26T20:22:28.6185375Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6185731Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6185889Z 
2025-08-26T20:22:28.6185999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6186386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6186738Z     return mod(*inputs)
2025-08-26T20:22:28.6187092Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6187452Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6187794Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:28.6188106Z     x = self.up1(x, s5)
2025-08-26T20:22:28.6188395Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6188736Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6188891Z 
2025-08-26T20:22:28.6189001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6189390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6189739Z     return mod(*inputs)
2025-08-26T20:22:28.6190048Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6190419Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6190783Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6191121Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6191416Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6191790Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6191947Z 
2025-08-26T20:22:28.6192058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6192450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6193032Z     return mod(*inputs)
2025-08-26T20:22:28.6193337Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6193702Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6194052Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:28.6194369Z     x = self.up1(x, s5)
2025-08-26T20:22:28.6194659Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6195057Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6195263Z 
2025-08-26T20:22:28.6195351Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6195602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6195973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6196307Z     return mod(*inputs)
2025-08-26T20:22:28.6196595Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6196947Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6197291Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:28.6197608Z     x = self.up1(x, s5)
2025-08-26T20:22:28.6197895Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6198280Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6198490Z 
2025-08-26T20:22:28.6198596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6198965Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6199296Z     return mod(*inputs)
2025-08-26T20:22:28.6199581Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6199934Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6200259Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:28.6200559Z     x = self.up2(x, s4)
2025-08-26T20:22:28.6200878Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6201205Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6201357Z 
2025-08-26T20:22:28.6201454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6201791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6202099Z     return mod(*inputs)
2025-08-26T20:22:28.6202358Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6202679Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6203022Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:28.6203331Z     x = self.up2(x, s4)
2025-08-26T20:22:28.6203616Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6203945Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6204107Z 
2025-08-26T20:22:28.6204217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6204581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6204907Z     return mod(*inputs)
2025-08-26T20:22:28.6205167Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6205485Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6205795Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6206085Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6206404Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6206719Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6206869Z 
2025-08-26T20:22:28.6206969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6207331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6207640Z     return mod(*inputs)
2025-08-26T20:22:28.6207902Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6208405Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6208728Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:28.6209027Z     x = self.up2(x, s4)
2025-08-26T20:22:28.6209300Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6209666Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6209864Z 
2025-08-26T20:22:28.6209949Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6210199Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6210538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6210842Z     return mod(*inputs)
2025-08-26T20:22:28.6211115Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6211438Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6211752Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:28.6212050Z     x = self.up2(x, s4)
2025-08-26T20:22:28.6212314Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6212682Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6212882Z 
2025-08-26T20:22:28.6212984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6213332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6213638Z     return mod(*inputs)
2025-08-26T20:22:28.6213966Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6214294Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6214802Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:28.6215110Z     x = self.up3(x, s3)
2025-08-26T20:22:28.6215370Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6215689Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6215842Z 
2025-08-26T20:22:28.6215942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6216304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6216621Z     return mod(*inputs)
2025-08-26T20:22:28.6216907Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6217244Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6217588Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:28.6217882Z     x = self.up3(x, s3)
2025-08-26T20:22:28.6218141Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6218459Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6218607Z 
2025-08-26T20:22:28.6218704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6219045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6219500Z     return mod(*inputs)
2025-08-26T20:22:28.6219770Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6220097Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6220422Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6220722Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6220988Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6221314Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6221465Z 
2025-08-26T20:22:28.6221566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6221914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6222221Z     return mod(*inputs)
2025-08-26T20:22:28.6222495Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6222831Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6223168Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:28.6223482Z     x = self.up3(x, s3)
2025-08-26T20:22:28.6223759Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6224147Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6224354Z 
2025-08-26T20:22:28.6224438Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6224685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6225054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6225396Z     return mod(*inputs)
2025-08-26T20:22:28.6225698Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6226056Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6226410Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:28.6226734Z     x = self.up3(x, s3)
2025-08-26T20:22:28.6227026Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6227525Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6227725Z 
2025-08-26T20:22:28.6227840Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6228210Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6228554Z     return mod(*inputs)
2025-08-26T20:22:28.6228859Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6229220Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6229576Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:28.6229893Z     x = self.up4(x, s2)
2025-08-26T20:22:28.6230200Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6230567Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6230726Z 
2025-08-26T20:22:28.6230849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6231235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6231576Z     return mod(*inputs)
2025-08-26T20:22:28.6231886Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6232255Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6232690Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:28.6233045Z     x = self.up4(x, s2)
2025-08-26T20:22:28.6233342Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6233773Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6233930Z 
2025-08-26T20:22:28.6234046Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6234422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6234769Z     return mod(*inputs)
2025-08-26T20:22:28.6235065Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6235416Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6235757Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6236060Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6236347Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6236689Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6236851Z 
2025-08-26T20:22:28.6236961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6237302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6237623Z     return mod(*inputs)
2025-08-26T20:22:28.6237908Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6238250Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6238589Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:28.6238898Z     x = self.up4(x, s2)
2025-08-26T20:22:28.6239180Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6239562Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6239759Z 
2025-08-26T20:22:28.6239848Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6240095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6240460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6240789Z     return mod(*inputs)
2025-08-26T20:22:28.6241081Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6241470Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6241809Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:28.6242125Z     x = self.up4(x, s2)
2025-08-26T20:22:28.6242409Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6242798Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6242994Z 
2025-08-26T20:22:28.6243100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6243466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6243802Z     return mod(*inputs)
2025-08-26T20:22:28.6244094Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6244444Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6244785Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6245099Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6245387Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6245730Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6245884Z 
2025-08-26T20:22:28.6245992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6246361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6246692Z     return mod(*inputs)
2025-08-26T20:22:28.6246991Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6247441Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6247775Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6248092Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6248383Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6248846Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6249040Z 
2025-08-26T20:22:28.6249154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6249527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6249865Z     return mod(*inputs)
2025-08-26T20:22:28.6250166Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6250529Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6250871Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-26T20:22:28.6251230Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6251396Z 
2025-08-26T20:22:28.6251505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6251886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6252215Z     return mod(*inputs)
2025-08-26T20:22:28.6252511Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6252857Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6253198Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6253515Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6253798Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6254204Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6254416Z 
2025-08-26T20:22:28.6254502Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6254758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6255190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6255543Z     return mod(*inputs)
2025-08-26T20:22:28.6255850Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6256198Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6256538Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6256843Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6257131Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6257519Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6257724Z 
2025-08-26T20:22:28.6257836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6258199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6258529Z     return mod(*inputs)
2025-08-26T20:22:28.6258824Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6259176Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6259522Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6259829Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6260122Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6260523Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6260739Z 
2025-08-26T20:22:28.6260855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6261268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6261607Z     return mod(*inputs)
2025-08-26T20:22:28.6261906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:28.6262260Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:28.6262605Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-26T20:22:28.6262944Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-26T20:22:28.6263107Z 
2025-08-26T20:22:28.6263215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6263590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6263935Z     return mod(*inputs)
2025-08-26T20:22:28.6264235Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward
2025-08-26T20:22:28.6264604Z     g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1)
2025-08-26T20:22:28.6264959Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:28.6265298Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:28.6265438Z 
2025-08-26T20:22:28.6265560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6265963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6266332Z     return mod(*inputs)
2025-08-26T20:22:28.6266663Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward
2025-08-26T20:22:28.6267050Z     g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0)
2025-08-26T20:22:28.6267395Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:28.6267774Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:28.6267918Z 
2025-08-26T20:22:28.6268010Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6268237Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6268462Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6268675Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6268932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6269394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6269764Z     return mod(*inputs)
2025-08-26T20:22:28.6270091Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward
2025-08-26T20:22:28.6270447Z     torch.cat(
2025-08-26T20:22:28.6270551Z 
2025-08-26T20:22:28.6270661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6271049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6271412Z     return mod(*inputs)
2025-08-26T20:22:28.6271732Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6272083Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6272463Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-26T20:22:28.6272932Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6273097Z 
2025-08-26T20:22:28.6273210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6273590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6273936Z     return mod(*inputs)
2025-08-26T20:22:28.6274247Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6274608Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6274935Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-26T20:22:28.6275307Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6275554Z 
2025-08-26T20:22:28.6275673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6276060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6276396Z     return mod(*inputs)
2025-08-26T20:22:28.6276718Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6277065Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6277390Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-26T20:22:28.6277748Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6277909Z 
2025-08-26T20:22:28.6278016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6278383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6278718Z     return mod(*inputs)
2025-08-26T20:22:28.6279009Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6279336Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6279656Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6279967Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6280261Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6280575Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6280699Z 
2025-08-26T20:22:28.6280806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6281177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6281508Z     return mod(*inputs)
2025-08-26T20:22:28.6281800Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6282122Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6282442Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6282758Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6283051Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6283391Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6283558Z 
2025-08-26T20:22:28.6283709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6284086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6284416Z     return mod(*inputs)
2025-08-26T20:22:28.6284712Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6285044Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6285374Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6285691Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6285981Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6286322Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6286485Z 
2025-08-26T20:22:28.6286590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6286969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6287305Z     return mod(*inputs)
2025-08-26T20:22:28.6287604Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6287938Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6288275Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6288598Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6288890Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6289234Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6289435Z 
2025-08-26T20:22:28.6289543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6289923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6290272Z     return mod(*inputs)
2025-08-26T20:22:28.6290580Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6290916Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6291253Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6291580Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6291887Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6292220Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6292358Z 
2025-08-26T20:22:28.6292468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6292848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6293198Z     return mod(*inputs)
2025-08-26T20:22:28.6293497Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6293844Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6294184Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6294518Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6294815Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6295162Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6295331Z 
2025-08-26T20:22:28.6295442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6295822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6296170Z     return mod(*inputs)
2025-08-26T20:22:28.6296465Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6296815Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6297149Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6297473Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6297814Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6298155Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6298318Z 
2025-08-26T20:22:28.6298423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6298795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6299131Z     return mod(*inputs)
2025-08-26T20:22:28.6299420Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6299754Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6300076Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6300396Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6300679Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6301010Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6301169Z 
2025-08-26T20:22:28.6301280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6301645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6301976Z     return mod(*inputs)
2025-08-26T20:22:28.6302264Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6302597Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6302922Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6303238Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6303523Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6303873Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6303993Z 
2025-08-26T20:22:28.6304102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6304477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6304815Z     return mod(*inputs)
2025-08-26T20:22:28.6305105Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6305420Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6305735Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6306051Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6306331Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6306676Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6306841Z 
2025-08-26T20:22:28.6306946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6307322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6307656Z     return mod(*inputs)
2025-08-26T20:22:28.6307943Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6308281Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6308618Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6308956Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6309253Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6309595Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6309756Z 
2025-08-26T20:22:28.6309866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6310235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6310595Z     return mod(*inputs)
2025-08-26T20:22:28.6310892Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6311239Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6311619Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6311939Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6312234Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6312699Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6312876Z 
2025-08-26T20:22:28.6312986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6313361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6313714Z     return mod(*inputs)
2025-08-26T20:22:28.6313997Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6314342Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6314881Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6315222Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6315518Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6315841Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6315965Z 
2025-08-26T20:22:28.6316071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6316435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6316751Z     return mod(*inputs)
2025-08-26T20:22:28.6317028Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6317343Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6317650Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6318060Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6318340Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6318675Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6318832Z 
2025-08-26T20:22:28.6318938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6319297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6319624Z     return mod(*inputs)
2025-08-26T20:22:28.6319930Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6320279Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6320613Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6320944Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6321218Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6321570Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6321736Z 
2025-08-26T20:22:28.6321843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6322223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6322569Z     return mod(*inputs)
2025-08-26T20:22:28.6322865Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6323210Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6323543Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6323862Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6324144Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6324494Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6324662Z 
2025-08-26T20:22:28.6324770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6325146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6325479Z     return mod(*inputs)
2025-08-26T20:22:28.6325853Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6326190Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6326511Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:28.6326820Z     x = self.down5(s5)
2025-08-26T20:22:28.6327104Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:28.6327419Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:28.6327542Z 
2025-08-26T20:22:28.6327650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6328013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6328341Z     return mod(*inputs)
2025-08-26T20:22:28.6328633Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6328964Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6329285Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:28.6329604Z     x = self.down5(s5)
2025-08-26T20:22:28.6329885Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6330226Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6330383Z 
2025-08-26T20:22:28.6330488Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6330862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6331195Z     return mod(*inputs)
2025-08-26T20:22:28.6331484Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6331830Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6332131Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:28.6332430Z     x = self.down5(s5)
2025-08-26T20:22:28.6332700Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:28.6333027Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6333171Z 
2025-08-26T20:22:28.6333287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6333628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6333932Z     return mod(*inputs)
2025-08-26T20:22:28.6334207Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6334527Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6334857Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:28.6335173Z     x = self.down5(s5)
2025-08-26T20:22:28.6335465Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6335808Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6335961Z 
2025-08-26T20:22:28.6336080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6336458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6336773Z     return mod(*inputs)
2025-08-26T20:22:28.6337056Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6337371Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6337678Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:28.6337971Z     x = self.up1(x, s5)
2025-08-26T20:22:28.6338250Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6338576Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6338724Z 
2025-08-26T20:22:28.6338833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6339184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6339532Z     return mod(*inputs)
2025-08-26T20:22:28.6339819Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6340207Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6340544Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:28.6340863Z     x = self.up1(x, s5)
2025-08-26T20:22:28.6341162Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6341512Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6341673Z 
2025-08-26T20:22:28.6341790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6342159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6342472Z     return mod(*inputs)
2025-08-26T20:22:28.6342764Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6343085Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6343397Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:28.6343697Z     s5 = self.down4(s4)
2025-08-26T20:22:28.6343973Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6344303Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6344449Z 
2025-08-26T20:22:28.6344563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6344912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6345271Z     return mod(*inputs)
2025-08-26T20:22:28.6345537Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6345841Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6346135Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:28.6346415Z     x = self.up1(x, s5)
2025-08-26T20:22:28.6346681Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6347037Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6347221Z 
2025-08-26T20:22:28.6347303Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6347529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6347861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6348170Z     return mod(*inputs)
2025-08-26T20:22:28.6348441Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6348749Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6349046Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:28.6349348Z     x = self.up1(x, s5)
2025-08-26T20:22:28.6349624Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6349990Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6350179Z 
2025-08-26T20:22:28.6350287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6350629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6350947Z     return mod(*inputs)
2025-08-26T20:22:28.6351230Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6351546Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6351846Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:28.6352142Z     x = self.up2(x, s4)
2025-08-26T20:22:28.6352414Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6352938Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6353116Z 
2025-08-26T20:22:28.6353235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6353606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6353963Z     return mod(*inputs)
2025-08-26T20:22:28.6354275Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6354619Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6354944Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:28.6355275Z     x = self.up2(x, s4)
2025-08-26T20:22:28.6355547Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6355870Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6356016Z 
2025-08-26T20:22:28.6356127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6356463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6356782Z     return mod(*inputs)
2025-08-26T20:22:28.6357064Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6357381Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6357678Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:28.6357976Z     s4 = self.down3(s3)
2025-08-26T20:22:28.6358249Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6358613Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6358759Z 
2025-08-26T20:22:28.6358865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6359206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6359527Z     return mod(*inputs)
2025-08-26T20:22:28.6359805Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6360124Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6360417Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:28.6360711Z     x = self.up2(x, s4)
2025-08-26T20:22:28.6360983Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6361350Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6361541Z 
2025-08-26T20:22:28.6361624Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6361851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6362219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6362552Z     return mod(*inputs)
2025-08-26T20:22:28.6362848Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6363173Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6363498Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:28.6363794Z     x = self.up2(x, s4)
2025-08-26T20:22:28.6364066Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6364430Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6364625Z 
2025-08-26T20:22:28.6364725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6365074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6365393Z     return mod(*inputs)
2025-08-26T20:22:28.6365669Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6366021Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6366329Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:28.6366627Z     x = self.up3(x, s3)
2025-08-26T20:22:28.6366906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6367232Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6367390Z 
2025-08-26T20:22:28.6367499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6367852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6368180Z     return mod(*inputs)
2025-08-26T20:22:28.6368465Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6368779Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6369089Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:28.6369395Z     x = self.up3(x, s3)
2025-08-26T20:22:28.6369686Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6370030Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6370196Z 
2025-08-26T20:22:28.6370307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6370694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6371032Z     return mod(*inputs)
2025-08-26T20:22:28.6371317Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6371677Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6371981Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:28.6372295Z     s3 = self.down2(s2)
2025-08-26T20:22:28.6372582Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6372920Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6373083Z 
2025-08-26T20:22:28.6373190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6373558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6373890Z     return mod(*inputs)
2025-08-26T20:22:28.6374180Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6374507Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6374825Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:28.6375140Z     x = self.up3(x, s3)
2025-08-26T20:22:28.6375428Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6375806Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6376014Z 
2025-08-26T20:22:28.6376102Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6376352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6376714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6377044Z     return mod(*inputs)
2025-08-26T20:22:28.6377330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6377660Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6377982Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:28.6378297Z     x = self.up3(x, s3)
2025-08-26T20:22:28.6378577Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6378967Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6379174Z 
2025-08-26T20:22:28.6379282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6379694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6380031Z     return mod(*inputs)
2025-08-26T20:22:28.6380317Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6380649Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6380973Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:28.6381286Z     x = self.up4(x, s2)
2025-08-26T20:22:28.6381564Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6381908Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6382074Z 
2025-08-26T20:22:28.6382178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6382541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6382867Z     return mod(*inputs)
2025-08-26T20:22:28.6383168Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6383505Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6383828Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:28.6384140Z     x = self.up4(x, s2)
2025-08-26T20:22:28.6384417Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6384757Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6384917Z 
2025-08-26T20:22:28.6385022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6385434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6385759Z     return mod(*inputs)
2025-08-26T20:22:28.6386052Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6386378Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6386681Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:28.6387006Z     s2 = self.down1(s1)
2025-08-26T20:22:28.6387307Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:28.6387630Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6387782Z 
2025-08-26T20:22:28.6387883Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6388234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6388547Z     return mod(*inputs)
2025-08-26T20:22:28.6388843Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6389179Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6389501Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:28.6389815Z     x = self.up4(x, s2)
2025-08-26T20:22:28.6390098Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6390491Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6390698Z 
2025-08-26T20:22:28.6390781Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6391032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6391398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6391736Z     return mod(*inputs)
2025-08-26T20:22:28.6392040Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6392390Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6392816Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:28.6393148Z     x = self.up4(x, s2)
2025-08-26T20:22:28.6393508Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6393928Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6394116Z 
2025-08-26T20:22:28.6394227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6394569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6394886Z     return mod(*inputs)
2025-08-26T20:22:28.6395168Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6395487Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6395798Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6396087Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6396365Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6396690Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6396837Z 
2025-08-26T20:22:28.6396945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6397287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6397604Z     return mod(*inputs)
2025-08-26T20:22:28.6397884Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6398201Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6398506Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6398849Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6399149Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:28.6399492Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:28.6399647Z 
2025-08-26T20:22:28.6399762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6400133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6400461Z     return mod(*inputs)
2025-08-26T20:22:28.6400740Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6401056Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6401353Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-26T20:22:28.6401689Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:28.6401845Z 
2025-08-26T20:22:28.6401947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6402298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6402613Z     return mod(*inputs)
2025-08-26T20:22:28.6402886Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6403199Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6403507Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6403804Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6404070Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6404432Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6404628Z 
2025-08-26T20:22:28.6404706Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6404943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6405292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6405599Z     return mod(*inputs)
2025-08-26T20:22:28.6405876Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6406188Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6406534Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6406826Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6407100Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6407464Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6407650Z 
2025-08-26T20:22:28.6407761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6408110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6408416Z     return mod(*inputs)
2025-08-26T20:22:28.6408697Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6409029Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6409349Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:28.6409656Z     x = self.up5(x, s1)
2025-08-26T20:22:28.6409931Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:28.6410295Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:28.6410483Z 
2025-08-26T20:22:28.6410590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6410946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6411253Z     return mod(*inputs)
2025-08-26T20:22:28.6411531Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:28.6411845Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:28.6412186Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-26T20:22:28.6412502Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-26T20:22:28.6412664Z 
2025-08-26T20:22:28.6412772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6413150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6413477Z     return mod(*inputs)
2025-08-26T20:22:28.6413755Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward
2025-08-26T20:22:28.6414081Z     V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :])
2025-08-26T20:22:28.6414232Z 
2025-08-26T20:22:28.6414336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6414894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6415220Z     return mod(*inputs)
2025-08-26T20:22:28.6415515Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward
2025-08-26T20:22:28.6415890Z     g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f)
2025-08-26T20:22:28.6416250Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:28.6416578Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:28.6416715Z 
2025-08-26T20:22:28.6416832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6417204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6417552Z     return mod(*inputs)
2025-08-26T20:22:28.6417856Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward
2025-08-26T20:22:28.6418216Z     g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f)
2025-08-26T20:22:28.6418564Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:28.6418882Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:28.6419023Z 
2025-08-26T20:22:28.6419129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6419501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6419843Z     return mod(*inputs)
2025-08-26T20:22:28.6420212Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward
2025-08-26T20:22:28.6420580Z     + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1)
2025-08-26T20:22:28.6420943Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:28.6421266Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:28.6421395Z 
2025-08-26T20:22:28.6421508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6421883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6422221Z     return mod(*inputs)
2025-08-26T20:22:28.6422523Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6422945Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6423159Z 
2025-08-26T20:22:28.6423267Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6423640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6423970Z     return mod(*inputs)
2025-08-26T20:22:28.6424249Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6424654Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6424867Z 
2025-08-26T20:22:28.6424971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6425330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6425645Z     return mod(*inputs)
2025-08-26T20:22:28.6425998Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6426368Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6426569Z 
2025-08-26T20:22:28.6426667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6427011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6427324Z     return mod(*inputs)
2025-08-26T20:22:28.6427597Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6427961Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6428161Z 
2025-08-26T20:22:28.6428259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6428602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6428919Z     return mod(*inputs)
2025-08-26T20:22:28.6429195Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6429581Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6429788Z 
2025-08-26T20:22:28.6429892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6430255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6430584Z     return mod(*inputs)
2025-08-26T20:22:28.6430879Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6431249Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6431253Z 
2025-08-26T20:22:28.6431360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6431549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6431615Z     return mod(*inputs)
2025-08-26T20:22:28.6431795Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6431930Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6431934Z 
2025-08-26T20:22:28.6432074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6432274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6432349Z     return mod(*inputs)
2025-08-26T20:22:28.6432588Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6432742Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6432747Z 
2025-08-26T20:22:28.6432864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6433067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6433149Z     return mod(*inputs)
2025-08-26T20:22:28.6433340Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6433485Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6433498Z 
2025-08-26T20:22:28.6433607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6433809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6433883Z     return mod(*inputs)
2025-08-26T20:22:28.6434075Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6434235Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6434238Z 
2025-08-26T20:22:28.6434335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6434522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6434641Z     return mod(*inputs)
2025-08-26T20:22:28.6434821Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6434964Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6434968Z 
2025-08-26T20:22:28.6435071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6435264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6435334Z     return mod(*inputs)
2025-08-26T20:22:28.6435515Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6435659Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6435663Z 
2025-08-26T20:22:28.6435761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6435958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6436024Z     return mod(*inputs)
2025-08-26T20:22:28.6436201Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6436347Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6436350Z 
2025-08-26T20:22:28.6436451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6436649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6436714Z     return mod(*inputs)
2025-08-26T20:22:28.6436894Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6437040Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6437043Z 
2025-08-26T20:22:28.6437143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6437341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6437403Z     return mod(*inputs)
2025-08-26T20:22:28.6437592Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6437728Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6437781Z 
2025-08-26T20:22:28.6437881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6438074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6438137Z     return mod(*inputs)
2025-08-26T20:22:28.6438323Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6438463Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6438466Z 
2025-08-26T20:22:28.6438569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6438772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6438839Z     return mod(*inputs)
2025-08-26T20:22:28.6439026Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6439166Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6439169Z 
2025-08-26T20:22:28.6439277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6439467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6439533Z     return mod(*inputs)
2025-08-26T20:22:28.6439718Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6439858Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6439862Z 
2025-08-26T20:22:28.6439970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6440191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6440252Z     return mod(*inputs)
2025-08-26T20:22:28.6440434Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6440570Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6440573Z 
2025-08-26T20:22:28.6440676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6440858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6440918Z     return mod(*inputs)
2025-08-26T20:22:28.6441099Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6441233Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6441236Z 
2025-08-26T20:22:28.6441338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6441524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6441591Z     return mod(*inputs)
2025-08-26T20:22:28.6441764Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6441900Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6441904Z 
2025-08-26T20:22:28.6442014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6442211Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6442282Z     return mod(*inputs)
2025-08-26T20:22:28.6442466Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6442609Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6442620Z 
2025-08-26T20:22:28.6442726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6442920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6442991Z     return mod(*inputs)
2025-08-26T20:22:28.6443176Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6444195Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6444200Z 
2025-08-26T20:22:28.6444310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6444507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6444582Z     return mod(*inputs)
2025-08-26T20:22:28.6444765Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6444914Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6444921Z 
2025-08-26T20:22:28.6445022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6445218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6445292Z     return mod(*inputs)
2025-08-26T20:22:28.6445479Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6445628Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6445632Z 
2025-08-26T20:22:28.6445733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6445946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6446009Z     return mod(*inputs)
2025-08-26T20:22:28.6446183Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6446325Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6446400Z 
2025-08-26T20:22:28.6446487Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6446577Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6446681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6446878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6446953Z     return mod(*inputs)
2025-08-26T20:22:28.6447138Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward
2025-08-26T20:22:28.6447247Z     + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0)
2025-08-26T20:22:28.6447431Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:28.6447508Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:28.6447511Z 
2025-08-26T20:22:28.6447601Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6447707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6447915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6447981Z     return mod(*inputs)
2025-08-26T20:22:28.6448165Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6448319Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6448322Z 
2025-08-26T20:22:28.6448426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6448635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6448699Z     return mod(*inputs)
2025-08-26T20:22:28.6448891Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6449034Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6449037Z 
2025-08-26T20:22:28.6449140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6449349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6449414Z     return mod(*inputs)
2025-08-26T20:22:28.6449606Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6449791Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6449795Z 
2025-08-26T20:22:28.6449898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6450102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6450167Z     return mod(*inputs)
2025-08-26T20:22:28.6450378Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6450522Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6450525Z 
2025-08-26T20:22:28.6450634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6450835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6450900Z     return mod(*inputs)
2025-08-26T20:22:28.6451092Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6451236Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6451240Z 
2025-08-26T20:22:28.6451348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6451544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6451607Z     return mod(*inputs)
2025-08-26T20:22:28.6451800Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6451943Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6451947Z 
2025-08-26T20:22:28.6452096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6452293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6452364Z     return mod(*inputs)
2025-08-26T20:22:28.6452550Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6452694Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6452698Z 
2025-08-26T20:22:28.6452813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6453007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6453078Z     return mod(*inputs)
2025-08-26T20:22:28.6453260Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6453402Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6453405Z 
2025-08-26T20:22:28.6453518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6453714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6453784Z     return mod(*inputs)
2025-08-26T20:22:28.6453964Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6454116Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6454120Z 
2025-08-26T20:22:28.6454222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6454416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6454488Z     return mod(*inputs)
2025-08-26T20:22:28.6454670Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6454820Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6454828Z 
2025-08-26T20:22:28.6454929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6455124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6455197Z     return mod(*inputs)
2025-08-26T20:22:28.6455413Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6455565Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6455568Z 
2025-08-26T20:22:28.6455671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6455873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6455937Z     return mod(*inputs)
2025-08-26T20:22:28.6456123Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:28.6456274Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:28.6456281Z 
2025-08-26T20:22:28.6456361Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6456448Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6456528Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6456605Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6456691Z cudagraph partition due to non gpu ops
2025-08-26T20:22:28.6456798Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:28.6457004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:28.6457071Z     return mod(*inputs)
2025-08-26T20:22:28.6457256Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 94, in forward
2025-08-26T20:22:28.6457398Z     loss = 204 * recnLoss + 102 * warpLoss + 0.005 * prcpLoss + loss_smooth
2025-08-26T20:22:28.6457402Z 
2025-08-26T20:22:55.5101475Z Compilation time (from dynamo_timed): 52.686540133
2025-08-26T20:22:55.5124704Z pass
2025-08-26T20:22:55.5130474Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:55.5131339Z TIMING: _recursive_pre_grad_passes:0.00844 _recursive_joint_graph_passes:0.33409 _recursive_post_grad_passes:0.79075 async_compile.wait:0.86121 code_gen:24.145 inductor_compile:31.15322 backend_compile:44.71327 gc:0.00047 entire_frame_compile:52.68654 total_wall_time:52.68654
2025-08-26T20:22:55.5132465Z STATS: call_* op count: 374 | FakeTensorMode.__torch_dispatch__:18098 | attempt fast:353 | fast is_contiguous:290 | FakeTensor.__torch_dispatch__:9346 | slow no contiguity match:63 | ProxyTorchDispatchMode.__torch_dispatch__:6008
2025-08-26T20:22:55.5133130Z Dynamo produced 1 graphs covering 374 ops with 0 graph breaks (0 unique)
2025-08-26T20:23:01.3509443Z 
2025-08-26T20:23:01.7579574Z 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
2025-08-26T20:23:01.7708263Z 
2025-08-26T20:23:01.7708283Z 
2025-08-26T20:23:01.8710621Z   0% 0.00/233M [00:00<?, ?B/s]
2025-08-26T20:23:01.8710859Z 
2025-08-26T20:23:01.9753337Z  24% 56.6M/233M [00:00<00:00, 593MB/s]
2025-08-26T20:23:01.9753580Z 
2025-08-26T20:23:02.0859220Z  49% 113M/233M [00:00<00:00, 579MB/s] 
2025-08-26T20:23:02.0863170Z 
2025-08-26T20:23:02.1857621Z  72% 169M/233M [00:00<00:00, 555MB/s]
2025-08-26T20:23:02.1857865Z 
2025-08-26T20:23:02.2010523Z  97% 225M/233M [00:00<00:00, 570MB/s]
2025-08-26T20:23:02.2010832Z 100% 233M/233M [00:00<00:00, 570MB/s]
2025-08-26T20:23:02.5013610Z 
2025-08-26T20:23:02.5018044Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:23:02.5018456Z cpu  eval  alexnet                            
2025-08-26T20:23:02.6567545Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:02.6964007Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:02.7344747Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:06.6954819Z cudagraph partition due to non gpu ops
2025-08-26T20:23:06.6959915Z cudagraph partition due to non gpu ops
2025-08-26T20:23:06.6964018Z cudagraph partition due to non gpu ops
2025-08-26T20:23:06.6964969Z cudagraph partition due to non gpu ops
2025-08-26T20:23:06.6965348Z cudagraph partition due to non gpu ops
2025-08-26T20:23:06.6966233Z cudagraph partition due to non gpu ops
2025-08-26T20:23:06.6966595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6967031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6967415Z     return mod(*inputs)
2025-08-26T20:23:06.6967824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6968287Z     x = self.features(x)
2025-08-26T20:23:06.6968452Z 
2025-08-26T20:23:06.6968584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6968997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6969371Z     return mod(*inputs)
2025-08-26T20:23:06.6969760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6970143Z     x = self.features(x)
2025-08-26T20:23:06.6970260Z 
2025-08-26T20:23:06.6970377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6970785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6971142Z     return mod(*inputs)
2025-08-26T20:23:06.6971529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6971909Z     x = self.features(x)
2025-08-26T20:23:06.6972023Z 
2025-08-26T20:23:06.6972147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6972901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6973267Z     return mod(*inputs)
2025-08-26T20:23:06.6973663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6974041Z     x = self.features(x)
2025-08-26T20:23:06.6974150Z 
2025-08-26T20:23:06.6974266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6974661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6975009Z     return mod(*inputs)
2025-08-26T20:23:06.6975369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6975746Z     x = self.features(x)
2025-08-26T20:23:06.6975857Z 
2025-08-26T20:23:06.6975968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6976362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6976714Z     return mod(*inputs)
2025-08-26T20:23:06.6977062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6977436Z     x = self.features(x)
2025-08-26T20:23:06.6977555Z 
2025-08-26T20:23:06.6977665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6978049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6978389Z     return mod(*inputs)
2025-08-26T20:23:06.6978728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6979085Z     x = self.features(x)
2025-08-26T20:23:06.6979197Z 
2025-08-26T20:23:06.6979305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6979682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6980028Z     return mod(*inputs)
2025-08-26T20:23:06.6980398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6980766Z     x = self.features(x)
2025-08-26T20:23:06.6980884Z 
2025-08-26T20:23:06.6981069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6981465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6981816Z     return mod(*inputs)
2025-08-26T20:23:06.6982164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6982541Z     x = self.features(x)
2025-08-26T20:23:06.6982661Z 
2025-08-26T20:23:06.6982781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6983153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6983502Z     return mod(*inputs)
2025-08-26T20:23:06.6983837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:23:06.6984191Z     x = self.features(x)
2025-08-26T20:23:06.6984297Z 
2025-08-26T20:23:06.6984412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6984795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6985138Z     return mod(*inputs)
2025-08-26T20:23:06.6985480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 49, in forward
2025-08-26T20:23:06.6985849Z     x = self.avgpool(x)
2025-08-26T20:23:06.6985956Z 
2025-08-26T20:23:06.6986073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6986468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6986816Z     return mod(*inputs)
2025-08-26T20:23:06.6987228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:23:06.6987614Z     x = self.classifier(x)
2025-08-26T20:23:06.6987739Z 
2025-08-26T20:23:06.6987853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6988234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6988590Z     return mod(*inputs)
2025-08-26T20:23:06.6988938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:23:06.6989314Z     x = self.classifier(x)
2025-08-26T20:23:06.6989434Z 
2025-08-26T20:23:06.6989550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6989931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6990288Z     return mod(*inputs)
2025-08-26T20:23:06.6990636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:23:06.6991012Z     x = self.classifier(x)
2025-08-26T20:23:06.6991138Z 
2025-08-26T20:23:06.6991254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6991631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6991981Z     return mod(*inputs)
2025-08-26T20:23:06.6992327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:23:06.6992994Z     x = self.classifier(x)
2025-08-26T20:23:06.6993116Z 
2025-08-26T20:23:06.6993231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:06.6993611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:06.6993952Z     return mod(*inputs)
2025-08-26T20:23:06.6994300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:23:06.6994678Z     x = self.classifier(x)
2025-08-26T20:23:06.6994794Z 
2025-08-26T20:23:15.2666853Z Compilation time (from dynamo_timed): 11.490344243
2025-08-26T20:23:15.2667163Z pass
2025-08-26T20:23:15.2670836Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:15.2672074Z TIMING: _recursive_pre_grad_passes:0.0037 _recursive_joint_graph_passes:0.1404 _recursive_post_grad_passes:0.01864 async_compile.wait:0.72114 code_gen:8.47969 inductor_compile:8.7877 backend_compile:10.9902 gc:0.00145 entire_frame_compile:11.49034 total_wall_time:11.49034
2025-08-26T20:23:15.2673444Z STATS: call_* op count: 22 | FakeTensorMode.__torch_dispatch__:1461 | FakeTensor.__torch_dispatch__:165 | attempt fast:41 | fast is_contiguous:41 | ProxyTorchDispatchMode.__torch_dispatch__:243
2025-08-26T20:23:15.2674138Z Dynamo produced 1 graphs covering 22 ops with 0 graph breaks (0 unique)
2025-08-26T20:23:19.3607549Z 
2025-08-26T20:23:21.1010563Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:21.1010900Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:23:21.1011151Z cpu  eval  basic_gnn_edgecnn                  
2025-08-26T20:23:21.6037304Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:21.8670218Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:22.1420117Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:23.4897729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4898238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4898609Z     return mod(*inputs)
2025-08-26T20:23:23.4899013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4899439Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4900134Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 233, in forward
2025-08-26T20:23:23.4900431Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4900731Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 192, in propagate
2025-08-26T20:23:23.4901107Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:23.4901653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:23.4902178Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:23.4902613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:23.4903035Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:23.4903461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:23:23.4903899Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:23:23.4904312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:23.4904706Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:23.4905091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:23:23.4905478Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:23:23.4905645Z 
2025-08-26T20:23:23.4905762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4906149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4906495Z     return mod(*inputs)
2025-08-26T20:23:23.4906859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4907264Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4907521Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 233, in forward
2025-08-26T20:23:23.4907809Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4908098Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 192, in propagate
2025-08-26T20:23:23.4908567Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:23.4909086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:23.4909571Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:23.4910011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:23.4910432Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:23.4910865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:23:23.4911312Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:23:23.4911743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:23.4912144Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:23.4912818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:23:23.4913226Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:23:23.4913390Z 
2025-08-26T20:23:23.4913507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4913907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4914245Z     return mod(*inputs)
2025-08-26T20:23:23.4914924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4915395Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4915691Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 233, in forward
2025-08-26T20:23:23.4915977Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4916269Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 192, in propagate
2025-08-26T20:23:23.4916657Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:23.4917215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:23.4917691Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:23.4918120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:23.4918537Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:23.4919000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:23:23.4919432Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:23:23.4919842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:23.4920221Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:23.4920608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:23:23.4920990Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:23:23.4921140Z 
2025-08-26T20:23:23.4921258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4921633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4921964Z     return mod(*inputs)
2025-08-26T20:23:23.4922330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4922727Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4922979Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 233, in forward
2025-08-26T20:23:23.4923250Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4923533Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 191, in propagate
2025-08-26T20:23:23.4923879Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4924287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4924697Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4924863Z 
2025-08-26T20:23:23.4924975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4925370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4925729Z     return mod(*inputs)
2025-08-26T20:23:23.4926100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4926507Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4926758Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 233, in forward
2025-08-26T20:23:23.4927034Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4927325Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 191, in propagate
2025-08-26T20:23:23.4927610Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4928010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4928421Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4928823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:23.4929190Z     x = lin(x)
2025-08-26T20:23:23.4929517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:23.4929967Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:23.4930132Z 
2025-08-26T20:23:23.4930244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4930629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4930978Z     return mod(*inputs)
2025-08-26T20:23:23.4931334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4931737Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4931995Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 233, in forward
2025-08-26T20:23:23.4932280Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4932562Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 191, in propagate
2025-08-26T20:23:23.4932850Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4933262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4933677Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4934202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:23.4934810Z     x = self.act(x)
2025-08-26T20:23:23.4934971Z 
2025-08-26T20:23:23.4935109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4935566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4936063Z     return mod(*inputs)
2025-08-26T20:23:23.4936512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4936941Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4937310Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 233, in forward
2025-08-26T20:23:23.4937677Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4938097Z   File "/tmp/jenkins_pyg/tmp5k3yk8c9.py", line 191, in propagate
2025-08-26T20:23:23.4938432Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4938964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4939458Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4939952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:23.4940402Z     x = self.lins[-1](x)
2025-08-26T20:23:23.4953604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:23.4954064Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:23.4954233Z 
2025-08-26T20:23:23.4954328Z cudagraph partition due to non gpu ops
2025-08-26T20:23:23.4954618Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4955033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4955396Z     return mod(*inputs)
2025-08-26T20:23:23.4955777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4956349Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4956630Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 233, in forward
2025-08-26T20:23:23.4956928Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4957233Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 191, in propagate
2025-08-26T20:23:23.4957530Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4957959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4958400Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4958694Z 
2025-08-26T20:23:23.4958816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4959206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4959548Z     return mod(*inputs)
2025-08-26T20:23:23.4959914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4960307Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4960567Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 233, in forward
2025-08-26T20:23:23.4960842Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4961129Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 191, in propagate
2025-08-26T20:23:23.4961417Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4961821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4962229Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4962617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:23.4962976Z     x = lin(x)
2025-08-26T20:23:23.4963306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:23.4963696Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:23.4963849Z 
2025-08-26T20:23:23.4963963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4964343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4964681Z     return mod(*inputs)
2025-08-26T20:23:23.4965038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4965425Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4965675Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 233, in forward
2025-08-26T20:23:23.4965958Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4966246Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 191, in propagate
2025-08-26T20:23:23.4966527Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4966970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4967381Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4967774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:23.4968135Z     x = self.act(x)
2025-08-26T20:23:23.4968233Z 
2025-08-26T20:23:23.4968350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4968716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4969063Z     return mod(*inputs)
2025-08-26T20:23:23.4969422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4969810Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4970059Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 233, in forward
2025-08-26T20:23:23.4970347Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4970631Z   File "/tmp/jenkins_pyg/tmpel0gdz0d.py", line 191, in propagate
2025-08-26T20:23:23.4970911Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4971307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4971710Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4972102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:23.4972468Z     x = self.lins[-1](x)
2025-08-26T20:23:23.4972860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:23.4973245Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:23.4973404Z 
2025-08-26T20:23:23.4973490Z cudagraph partition due to non gpu ops
2025-08-26T20:23:23.4973748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4974125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4974467Z     return mod(*inputs)
2025-08-26T20:23:23.4974815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4975200Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4975451Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 233, in forward
2025-08-26T20:23:23.4975729Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4976001Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 191, in propagate
2025-08-26T20:23:23.4976283Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4976678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4977087Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4977243Z 
2025-08-26T20:23:23.4977358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4977720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4978055Z     return mod(*inputs)
2025-08-26T20:23:23.4978407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4978791Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4979032Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 233, in forward
2025-08-26T20:23:23.4979306Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4979589Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 191, in propagate
2025-08-26T20:23:23.4979865Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4980263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4980715Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4981107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:23.4981461Z     x = lin(x)
2025-08-26T20:23:23.4981785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:23.4982162Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:23.4982320Z 
2025-08-26T20:23:23.4982427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4982799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4983163Z     return mod(*inputs)
2025-08-26T20:23:23.4983527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4983909Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4984162Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 233, in forward
2025-08-26T20:23:23.4984435Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4984716Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 191, in propagate
2025-08-26T20:23:23.4984990Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4985394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4985807Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4986202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:23.4986608Z     x = self.act(x)
2025-08-26T20:23:23.4986709Z 
2025-08-26T20:23:23.4986819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:23.4987208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:23.4987564Z     return mod(*inputs)
2025-08-26T20:23:23.4987933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:23.4988328Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:23.4988586Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 233, in forward
2025-08-26T20:23:23.4988868Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:23:23.4989155Z   File "/tmp/jenkins_pyg/tmpvya75j_1.py", line 191, in propagate
2025-08-26T20:23:23.4989435Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:23:23.4989833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:23:23.4990249Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:23:23.4990648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:23.4991021Z     x = self.lins[-1](x)
2025-08-26T20:23:23.4991372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:23.4991768Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:23.4991928Z 
2025-08-26T20:23:23.4992016Z cudagraph partition due to non gpu ops
2025-08-26T20:23:29.8411549Z Compilation time (from dynamo_timed): 7.522536201
2025-08-26T20:23:29.8413554Z pass
2025-08-26T20:23:29.8413989Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:29.8415000Z TIMING: _recursive_pre_grad_passes:0.00406 _recursive_joint_graph_passes:0.1376 _recursive_post_grad_passes:0.01981 async_compile.wait:0.4857 code_gen:6.13416 inductor_compile:6.23858 backend_compile:7.13076 gc:0.0006 entire_frame_compile:7.52254 total_wall_time:7.52254
2025-08-26T20:23:29.8416238Z STATS: call_* op count: 55 | FakeTensorMode.__torch_dispatch__:1404 | FakeTensor.__torch_dispatch__:299 | ProxyTorchDispatchMode.__torch_dispatch__:429
2025-08-26T20:23:29.8417022Z Dynamo produced 1 graphs covering 55 ops with 0 graph breaks (0 unique)
2025-08-26T20:23:33.8063997Z 
2025-08-26T20:23:35.4785991Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:35.4786299Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:23:35.4787271Z cpu  eval  basic_gnn_gcn                      
2025-08-26T20:23:35.6297699Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:35.7105205Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:35.7893761Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:36.8773008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:36.8773579Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops
2025-08-26T20:23:36.8774041Z     mask = edge_index[0] != edge_index[1]
2025-08-26T20:23:36.8774272Z 
2025-08-26T20:23:36.8774395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:36.8774864Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops
2025-08-26T20:23:36.8775327Z     loop_index = loop_index.unsqueeze(0).repeat(2, 1)
2025-08-26T20:23:36.8775491Z 
2025-08-26T20:23:42.9867714Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.9868039Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.9868301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.9868854Z    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
2025-08-26T20:23:42.9869832Z     edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1)
2025-08-26T20:23:42.9870047Z 
2025-08-26T20:23:43.6957218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:43.6957852Z    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
2025-08-26T20:23:43.6958386Z     deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum')
2025-08-26T20:23:43.6958853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:43.6959272Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:43.6959460Z 
2025-08-26T20:23:43.6959580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:43.6960095Z    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
2025-08-26T20:23:43.6960606Z     edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype,
2025-08-26T20:23:43.6960792Z 
2025-08-26T20:23:43.6960891Z cudagraph partition due to non gpu ops
2025-08-26T20:23:43.6961143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:43.6961626Z    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
2025-08-26T20:23:43.6962158Z     edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
2025-08-26T20:23:43.6962342Z 
2025-08-26T20:23:44.7597718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:44.7598177Z    File "/tmp/jenkins_pyg/tmptrboumy0.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-08-26T20:23:44.7598516Z     x = self.lin(x)
2025-08-26T20:23:44.7598906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:44.7599374Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:44.7599537Z 
2025-08-26T20:23:44.7599667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:44.7600434Z    File "/tmp/jenkins_pyg/tmptrboumy0.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-26T20:23:44.7600838Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-26T20:23:44.7601176Z   File "/tmp/jenkins_pyg/tmptrboumy0.py", line 188, in propagate
2025-08-26T20:23:44.7601555Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-26T20:23:44.7602088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:44.7602583Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:44.7603014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:44.7603455Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:44.7603876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-26T20:23:44.7604311Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-26T20:23:44.7604726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:44.7605134Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:44.7605521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:44.7605934Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:44.7606111Z 
2025-08-26T20:23:44.7606233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:44.7606594Z    File "/tmp/jenkins_pyg/tmptrboumy0.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-26T20:23:44.7607088Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-26T20:23:44.7607406Z   File "/tmp/jenkins_pyg/tmptrboumy0.py", line 187, in propagate
2025-08-26T20:23:44.7607737Z     out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j)
2025-08-26T20:23:44.7608167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-08-26T20:23:44.7608614Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-08-26T20:23:44.7608814Z 
2025-08-26T20:23:44.7608906Z cudagraph partition due to non gpu ops
2025-08-26T20:23:44.7609166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:44.7609525Z    File "/tmp/jenkins_pyg/tmptrboumy0.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-08-26T20:23:44.7609837Z     out = out + self.bias
2025-08-26T20:23:44.7609960Z 
2025-08-26T20:23:46.0904468Z Compilation time (from dynamo_timed): 10.145827046
2025-08-26T20:23:46.0904975Z pass
2025-08-26T20:23:46.0905287Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:46.0906203Z TIMING: gc:0.00798 entire_frame_compile:10.14583 _recursive_pre_grad_passes:0.00676 _recursive_joint_graph_passes:0.13024 _recursive_post_grad_passes:0.02095 async_compile.wait:2.28623 code_gen:8.00467 inductor_compile:8.12973 backend_compile:9.06523 total_wall_time:10.14583
2025-08-26T20:23:46.0907192Z STATS: call_* op count: 57 | FakeTensorMode.__torch_dispatch__:1070 | FakeTensor.__torch_dispatch__:179 | ProxyTorchDispatchMode.__torch_dispatch__:220
2025-08-26T20:23:46.0907729Z Dynamo produced 6 graphs covering 57 ops with 6 graph breaks (1 unique)
2025-08-26T20:23:50.1012142Z 
2025-08-26T20:23:51.7685935Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:51.7686830Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:23:51.7687153Z cpu  eval  basic_gnn_gin                      
2025-08-26T20:23:51.8678763Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:51.9189138Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:51.9679585Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:53.3036404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3036945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3037316Z     return mod(*inputs)
2025-08-26T20:23:53.3037768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3038228Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3038499Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 225, in forward
2025-08-26T20:23:53.3038788Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:53.3039116Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 182, in propagate
2025-08-26T20:23:53.3039482Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-08-26T20:23:53.3040028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:53.3040508Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:53.3040940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:53.3041365Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:53.3041785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-26T20:23:53.3042220Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-26T20:23:53.3042996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:53.3043386Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:53.3043764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:53.3044177Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:53.3044365Z 
2025-08-26T20:23:53.3044485Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3044873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3045222Z     return mod(*inputs)
2025-08-26T20:23:53.3045574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3045965Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3046218Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 225, in forward
2025-08-26T20:23:53.3046498Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:53.3046774Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 180, in propagate
2025-08-26T20:23:53.3047066Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:53.3047354Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 127, in _collect
2025-08-26T20:23:53.3047616Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:53.3047858Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 87, in _lift
2025-08-26T20:23:53.3048127Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:53.3048285Z 
2025-08-26T20:23:53.3048397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3048771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3049114Z     return mod(*inputs)
2025-08-26T20:23:53.3049478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3049875Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3050125Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 225, in forward
2025-08-26T20:23:53.3050398Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:53.3050668Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 182, in propagate
2025-08-26T20:23:53.3051109Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-08-26T20:23:53.3051607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:53.3052043Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:53.3052446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:53.3052859Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:53.3053266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-26T20:23:53.3053684Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-26T20:23:53.3054093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:53.3054495Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:53.3054877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:53.3055287Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:53.3055468Z 
2025-08-26T20:23:53.3055580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3055958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3056338Z     return mod(*inputs)
2025-08-26T20:23:53.3056671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3057084Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3057324Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 225, in forward
2025-08-26T20:23:53.3057596Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:53.3057867Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 182, in propagate
2025-08-26T20:23:53.3058241Z     out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size)
2025-08-26T20:23:53.3058736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:53.3059193Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:53.3059612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:53.3060016Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:53.3060424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-26T20:23:53.3060835Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-26T20:23:53.3061241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:53.3061630Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:53.3062003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:53.3062405Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:53.3062580Z 
2025-08-26T20:23:53.3062667Z cudagraph partition due to non gpu ops
2025-08-26T20:23:53.3062922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3063287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3063627Z     return mod(*inputs)
2025-08-26T20:23:53.3063986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3064367Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3064621Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 229, in forward
2025-08-26T20:23:53.3064868Z     out = out + (1 + self.eps) * x_r
2025-08-26T20:23:53.3065109Z 
2025-08-26T20:23:53.3065222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3065598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3065933Z     return mod(*inputs)
2025-08-26T20:23:53.3066280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3066672Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3066931Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 231, in forward
2025-08-26T20:23:53.3067183Z     return self.nn(out)
2025-08-26T20:23:53.3067530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:53.3067895Z     x = lin(x)
2025-08-26T20:23:53.3068231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:53.3068639Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:53.3068795Z 
2025-08-26T20:23:53.3068914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3069288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3069631Z     return mod(*inputs)
2025-08-26T20:23:53.3069988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3070387Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3070638Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 231, in forward
2025-08-26T20:23:53.3070935Z     return self.nn(out)
2025-08-26T20:23:53.3071281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:53.3071648Z     x = self.act(x)
2025-08-26T20:23:53.3071749Z 
2025-08-26T20:23:53.3071865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3072240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3072909Z     return mod(*inputs)
2025-08-26T20:23:53.3073289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3073714Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3073971Z   File "/tmp/jenkins_pyg/tmp6u3yc4qv.py", line 231, in forward
2025-08-26T20:23:53.3074218Z     return self.nn(out)
2025-08-26T20:23:53.3074554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:53.3074928Z     x = self.lins[-1](x)
2025-08-26T20:23:53.3075278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:53.3075659Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:53.3075819Z 
2025-08-26T20:23:53.3075931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3076346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3076691Z     return mod(*inputs)
2025-08-26T20:23:53.3077041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3077434Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3077692Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 225, in forward
2025-08-26T20:23:53.3077977Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:53.3078267Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 180, in propagate
2025-08-26T20:23:53.3078565Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:53.3078864Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 127, in _collect
2025-08-26T20:23:53.3079132Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:53.3079384Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 87, in _lift
2025-08-26T20:23:53.3079742Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:53.3079910Z 
2025-08-26T20:23:53.3079994Z cudagraph partition due to non gpu ops
2025-08-26T20:23:53.3080245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3080619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3080947Z     return mod(*inputs)
2025-08-26T20:23:53.3081304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3081691Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3081947Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 229, in forward
2025-08-26T20:23:53.3082198Z     out = out + (1 + self.eps) * x_r
2025-08-26T20:23:53.3082330Z 
2025-08-26T20:23:53.3082451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3082834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3083174Z     return mod(*inputs)
2025-08-26T20:23:53.3083536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3083931Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3084180Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 231, in forward
2025-08-26T20:23:53.3084420Z     return self.nn(out)
2025-08-26T20:23:53.3084767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:53.3085133Z     x = lin(x)
2025-08-26T20:23:53.3085515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:53.3085902Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:53.3086053Z 
2025-08-26T20:23:53.3086164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3086550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3086891Z     return mod(*inputs)
2025-08-26T20:23:53.3087250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3087641Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3087893Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 231, in forward
2025-08-26T20:23:53.3088143Z     return self.nn(out)
2025-08-26T20:23:53.3088490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:53.3088856Z     x = self.act(x)
2025-08-26T20:23:53.3088955Z 
2025-08-26T20:23:53.3089063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3089447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3089797Z     return mod(*inputs)
2025-08-26T20:23:53.3090159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3090535Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3090790Z   File "/tmp/jenkins_pyg/tmp5vnwai_e.py", line 231, in forward
2025-08-26T20:23:53.3091036Z     return self.nn(out)
2025-08-26T20:23:53.3091382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:53.3091758Z     x = self.lins[-1](x)
2025-08-26T20:23:53.3092106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:53.3092510Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:53.3092661Z 
2025-08-26T20:23:53.3092783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3093169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3093518Z     return mod(*inputs)
2025-08-26T20:23:53.3093935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3094329Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3094583Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 225, in forward
2025-08-26T20:23:53.3094870Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:53.3095154Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 180, in propagate
2025-08-26T20:23:53.3095453Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:53.3095750Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 127, in _collect
2025-08-26T20:23:53.3096009Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:53.3096257Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 87, in _lift
2025-08-26T20:23:53.3096531Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:53.3096694Z 
2025-08-26T20:23:53.3096780Z cudagraph partition due to non gpu ops
2025-08-26T20:23:53.3097041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3097416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3097772Z     return mod(*inputs)
2025-08-26T20:23:53.3098144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3098545Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3098796Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 229, in forward
2025-08-26T20:23:53.3099043Z     out = out + (1 + self.eps) * x_r
2025-08-26T20:23:53.3099183Z 
2025-08-26T20:23:53.3099337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3099742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3100102Z     return mod(*inputs)
2025-08-26T20:23:53.3100471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3100874Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3101128Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 231, in forward
2025-08-26T20:23:53.3101376Z     return self.nn(out)
2025-08-26T20:23:53.3101770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:53.3102136Z     x = lin(x)
2025-08-26T20:23:53.3102472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:53.3102869Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:53.3103025Z 
2025-08-26T20:23:53.3103142Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3103514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3103858Z     return mod(*inputs)
2025-08-26T20:23:53.3104231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3104610Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3104853Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 231, in forward
2025-08-26T20:23:53.3105086Z     return self.nn(out)
2025-08-26T20:23:53.3105426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:53.3105781Z     x = self.act(x)
2025-08-26T20:23:53.3105880Z 
2025-08-26T20:23:53.3105996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:53.3106357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:53.3106705Z     return mod(*inputs)
2025-08-26T20:23:53.3107053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:53.3107432Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:53.3107709Z   File "/tmp/jenkins_pyg/tmpo730cxn9.py", line 231, in forward
2025-08-26T20:23:53.3107954Z     return self.nn(out)
2025-08-26T20:23:53.3108287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:53.3108652Z     x = self.lins[-1](x)
2025-08-26T20:23:53.3109006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:53.3109391Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:53.3109552Z 
2025-08-26T20:23:59.4792993Z Compilation time (from dynamo_timed): 7.3996305
2025-08-26T20:23:59.4793374Z pass
2025-08-26T20:23:59.4793692Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:59.4794558Z TIMING: _recursive_pre_grad_passes:0.00403 _recursive_joint_graph_passes:0.13658 _recursive_post_grad_passes:0.02017 async_compile.wait:0.4719 code_gen:6.01362 inductor_compile:6.11734 backend_compile:7.00893 gc:0.00037 entire_frame_compile:7.39963 total_wall_time:7.39963
2025-08-26T20:23:59.4795536Z STATS: call_* op count: 52 | FakeTensorMode.__torch_dispatch__:1321 | FakeTensor.__torch_dispatch__:296 | ProxyTorchDispatchMode.__torch_dispatch__:420
2025-08-26T20:23:59.4796231Z Dynamo produced 1 graphs covering 52 ops with 0 graph breaks (0 unique)
2025-08-26T20:24:03.4524363Z 
2025-08-26T20:24:05.1057212Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:05.1057538Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:24:05.1057781Z cpu  eval  basic_gnn_sage                     
2025-08-26T20:24:05.1963045Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:05.2421711Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:05.2871539Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:06.5856118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5860618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5864227Z     return mod(*inputs)
2025-08-26T20:24:06.5864631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5865362Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5865758Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 228, in forward
2025-08-26T20:24:06.5866123Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5866474Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 182, in propagate
2025-08-26T20:24:06.5866935Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5867619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5868186Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5868656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5869226Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5869688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5870145Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5870604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5871011Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5871413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-26T20:24:06.5871824Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:24:06.5872002Z 
2025-08-26T20:24:06.5872451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5872945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5873301Z     return mod(*inputs)
2025-08-26T20:24:06.5873676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5874074Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5874344Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 228, in forward
2025-08-26T20:24:06.5874637Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5874941Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 180, in propagate
2025-08-26T20:24:06.5875244Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:24:06.5875546Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 127, in _collect
2025-08-26T20:24:06.5875808Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:24:06.5876078Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 87, in _lift
2025-08-26T20:24:06.5876356Z     return src.index_select(self.node_dim, index)
2025-08-26T20:24:06.5876514Z 
2025-08-26T20:24:06.5876641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5877015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5877390Z     return mod(*inputs)
2025-08-26T20:24:06.5877758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5878151Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5878507Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 228, in forward
2025-08-26T20:24:06.5878776Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5879057Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 182, in propagate
2025-08-26T20:24:06.5879415Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5879904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5880378Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5880802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5881225Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5881640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5882070Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5882478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5882855Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5883247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:24:06.5883674Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:24:06.5883842Z 
2025-08-26T20:24:06.5883954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5884309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5884630Z     return mod(*inputs)
2025-08-26T20:24:06.5885100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5885522Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5885778Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 228, in forward
2025-08-26T20:24:06.5886047Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5886326Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 182, in propagate
2025-08-26T20:24:06.5886739Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5887208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5887655Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5888076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5888487Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5888897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5889319Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5889716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5890109Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5890499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:24:06.5890881Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:24:06.5891043Z 
2025-08-26T20:24:06.5891155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5891500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5891820Z     return mod(*inputs)
2025-08-26T20:24:06.5892241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5892668Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5892965Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 228, in forward
2025-08-26T20:24:06.5893255Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5893534Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 182, in propagate
2025-08-26T20:24:06.5893895Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5894398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5894862Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5895285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5895697Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5896099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5896520Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5896919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5897307Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5897696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-26T20:24:06.5898095Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:24:06.5898263Z 
2025-08-26T20:24:06.5898375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5898754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5899096Z     return mod(*inputs)
2025-08-26T20:24:06.5899463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5899873Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5900119Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 228, in forward
2025-08-26T20:24:06.5900393Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5900670Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 182, in propagate
2025-08-26T20:24:06.5901061Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5901556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5902027Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5902448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5902856Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5903258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5903674Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5904089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5904488Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5904880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:24:06.5905299Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:24:06.5905482Z 
2025-08-26T20:24:06.5905597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5905984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5906336Z     return mod(*inputs)
2025-08-26T20:24:06.5906703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5907127Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5907390Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 228, in forward
2025-08-26T20:24:06.5907672Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5907964Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 182, in propagate
2025-08-26T20:24:06.5908324Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5908826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5909298Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5909730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5910151Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5910564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5910980Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5911393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5911790Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5912178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:24:06.5912810Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:24:06.5913003Z 
2025-08-26T20:24:06.5913118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5913507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5913855Z     return mod(*inputs)
2025-08-26T20:24:06.5914226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5914846Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5915118Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 228, in forward
2025-08-26T20:24:06.5915405Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5915787Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 182, in propagate
2025-08-26T20:24:06.5916149Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5916659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5917139Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5917577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5918004Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5918418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5918855Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5919280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5919678Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5920076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-26T20:24:06.5920476Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:24:06.5920655Z 
2025-08-26T20:24:06.5920769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5921155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5921501Z     return mod(*inputs)
2025-08-26T20:24:06.5921965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5922378Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5922647Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 228, in forward
2025-08-26T20:24:06.5922946Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5923251Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 182, in propagate
2025-08-26T20:24:06.5923623Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5924151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5924646Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5925097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5925534Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5925955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5926392Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5926830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5927224Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5927611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:24:06.5928065Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:24:06.5928250Z 
2025-08-26T20:24:06.5928359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5928736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5929080Z     return mod(*inputs)
2025-08-26T20:24:06.5929431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5929817Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5930072Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 228, in forward
2025-08-26T20:24:06.5930405Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5930686Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 182, in propagate
2025-08-26T20:24:06.5931033Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5931528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5931986Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5932407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5932825Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5933218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5933628Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5934035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5934416Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5934790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:24:06.5935198Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:24:06.5935380Z 
2025-08-26T20:24:06.5935467Z cudagraph partition due to non gpu ops
2025-08-26T20:24:06.5935692Z cudagraph partition due to non gpu ops
2025-08-26T20:24:06.5935939Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5936343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5936682Z     return mod(*inputs)
2025-08-26T20:24:06.5937018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5937406Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5937651Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 228, in forward
2025-08-26T20:24:06.5937929Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5938208Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 182, in propagate
2025-08-26T20:24:06.5938564Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5939062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5939513Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5939936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5940350Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5940760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5941173Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5941575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5941963Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5942350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-26T20:24:06.5942726Z     return out / broadcast(count, out, dim)
2025-08-26T20:24:06.5942871Z 
2025-08-26T20:24:06.5942984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5943362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5943698Z     return mod(*inputs)
2025-08-26T20:24:06.5944089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5944471Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5944720Z   File "/tmp/jenkins_pyg/tmpxbcnhli0.py", line 229, in forward
2025-08-26T20:24:06.5944974Z     out = self.lin_l(out)
2025-08-26T20:24:06.5945327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:24:06.5945715Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:24:06.5945865Z 
2025-08-26T20:24:06.5945950Z cudagraph partition due to non gpu ops
2025-08-26T20:24:06.5946203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5946597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5946947Z     return mod(*inputs)
2025-08-26T20:24:06.5947312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5947696Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5947952Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 228, in forward
2025-08-26T20:24:06.5948226Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5948504Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 180, in propagate
2025-08-26T20:24:06.5948806Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:24:06.5949094Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 127, in _collect
2025-08-26T20:24:06.5949344Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:24:06.5949590Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 87, in _lift
2025-08-26T20:24:06.5949894Z     return src.index_select(self.node_dim, index)
2025-08-26T20:24:06.5950056Z 
2025-08-26T20:24:06.5950138Z cudagraph partition due to non gpu ops
2025-08-26T20:24:06.5950357Z cudagraph partition due to non gpu ops
2025-08-26T20:24:06.5950605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5950999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5951353Z     return mod(*inputs)
2025-08-26T20:24:06.5951732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5952136Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5952388Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 228, in forward
2025-08-26T20:24:06.5952838Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5953154Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 182, in propagate
2025-08-26T20:24:06.5953542Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5954149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5954634Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5955078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5955507Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5955924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5956365Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5956786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5957183Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5957585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-26T20:24:06.5957978Z     return out / broadcast(count, out, dim)
2025-08-26T20:24:06.5958126Z 
2025-08-26T20:24:06.5958254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5958687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5959047Z     return mod(*inputs)
2025-08-26T20:24:06.5959414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5959815Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5960073Z   File "/tmp/jenkins_pyg/tmp1y9s_jxy.py", line 229, in forward
2025-08-26T20:24:06.5960325Z     out = self.lin_l(out)
2025-08-26T20:24:06.5960703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:24:06.5961110Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:24:06.5961264Z 
2025-08-26T20:24:06.5961385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5961779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5962121Z     return mod(*inputs)
2025-08-26T20:24:06.5962478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-08-26T20:24:06.5962854Z     x = self.act(x)
2025-08-26T20:24:06.5962956Z 
2025-08-26T20:24:06.5963048Z cudagraph partition due to non gpu ops
2025-08-26T20:24:06.5963295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5963669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5964008Z     return mod(*inputs)
2025-08-26T20:24:06.5964356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5964748Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5964993Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 228, in forward
2025-08-26T20:24:06.5965257Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5965517Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 180, in propagate
2025-08-26T20:24:06.5965795Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:24:06.5966059Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 127, in _collect
2025-08-26T20:24:06.5966295Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:24:06.5966528Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 87, in _lift
2025-08-26T20:24:06.5966778Z     return src.index_select(self.node_dim, index)
2025-08-26T20:24:06.5966922Z 
2025-08-26T20:24:06.5967002Z cudagraph partition due to non gpu ops
2025-08-26T20:24:06.5967215Z cudagraph partition due to non gpu ops
2025-08-26T20:24:06.5967475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5967826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5968142Z     return mod(*inputs)
2025-08-26T20:24:06.5968480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5968840Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5969074Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 228, in forward
2025-08-26T20:24:06.5969334Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:24:06.5969600Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 182, in propagate
2025-08-26T20:24:06.5969952Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-26T20:24:06.5970455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:24:06.5970914Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:24:06.5971337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:24:06.5971744Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:24:06.5972226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:24:06.5972647Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:24:06.5973056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:24:06.5973430Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:24:06.5973814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-26T20:24:06.5974194Z     return out / broadcast(count, out, dim)
2025-08-26T20:24:06.5974329Z 
2025-08-26T20:24:06.5974440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5974801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5975112Z     return mod(*inputs)
2025-08-26T20:24:06.5975448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:24:06.5975811Z     x = self.convs[i](x, edge_index)
2025-08-26T20:24:06.5976062Z   File "/tmp/jenkins_pyg/tmpa67j94tv.py", line 229, in forward
2025-08-26T20:24:06.5976300Z     out = self.lin_l(out)
2025-08-26T20:24:06.5976650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:24:06.5977033Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:24:06.5977182Z 
2025-08-26T20:24:06.5977299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:06.5977670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:06.5978207Z     return mod(*inputs)
2025-08-26T20:24:06.5978566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-08-26T20:24:06.5978952Z     x = self.act(x)
2025-08-26T20:24:06.5979053Z 
2025-08-26T20:24:06.5979147Z cudagraph partition due to non gpu ops
2025-08-26T20:24:12.7421787Z Compilation time (from dynamo_timed): 7.347897283
2025-08-26T20:24:12.7428056Z pass
2025-08-26T20:24:12.7429882Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:12.7430853Z TIMING: _recursive_pre_grad_passes:0.00396 _recursive_joint_graph_passes:0.13671 _recursive_post_grad_passes:0.03469 async_compile.wait:0.50254 code_gen:6.02606 inductor_compile:6.14636 backend_compile:7.03475 gc:0.00099 entire_frame_compile:7.3479 total_wall_time:7.3479
2025-08-26T20:24:12.7431940Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:1355 | FakeTensor.__torch_dispatch__:273 | ProxyTorchDispatchMode.__torch_dispatch__:444
2025-08-26T20:24:12.7432742Z Dynamo produced 1 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-08-26T20:24:16.7648315Z 
2025-08-26T20:24:16.9927503Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:16.9927817Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:16.9928083Z cpu  eval  dcgan                              
2025-08-26T20:24:17.0087925Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:17.0170911Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:17.0228953Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:20.2619818Z cudagraph partition due to non gpu ops
2025-08-26T20:24:20.2620145Z cudagraph partition due to non gpu ops
2025-08-26T20:24:20.2620366Z cudagraph partition due to non gpu ops
2025-08-26T20:24:20.2620588Z cudagraph partition due to non gpu ops
2025-08-26T20:24:20.2620843Z cudagraph partition due to non gpu ops
2025-08-26T20:24:20.2621067Z cudagraph partition due to non gpu ops
2025-08-26T20:24:20.2621323Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:20.2621747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:20.2622488Z     return mod(*inputs)
2025-08-26T20:24:20.2622819Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:24:20.2623138Z     return self.main(input)
2025-08-26T20:24:20.2623274Z 
2025-08-26T20:24:20.2623389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:20.2623784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:20.2624136Z     return mod(*inputs)
2025-08-26T20:24:20.2624449Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:24:20.2624758Z     return self.main(input)
2025-08-26T20:24:20.2624926Z 
2025-08-26T20:24:20.2625041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:20.2625429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:20.2625775Z     return mod(*inputs)
2025-08-26T20:24:20.2626053Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:24:20.2626364Z     return self.main(input)
2025-08-26T20:24:20.2626484Z 
2025-08-26T20:24:20.2626589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:20.2627011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:20.2627350Z     return mod(*inputs)
2025-08-26T20:24:20.2627621Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:24:20.2627928Z     return self.main(input)
2025-08-26T20:24:20.2628047Z 
2025-08-26T20:24:20.2628153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:20.2628656Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:20.2629002Z     return mod(*inputs)
2025-08-26T20:24:20.2629286Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:24:20.2629599Z     return self.main(input)
2025-08-26T20:24:20.2629720Z 
2025-08-26T20:24:20.2629838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:20.2630236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:20.2630581Z     return mod(*inputs)
2025-08-26T20:24:20.2630865Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:24:20.2631182Z     return self.main(input)
2025-08-26T20:24:20.2631298Z 
2025-08-26T20:24:20.2631420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:20.2631795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:20.2632139Z     return mod(*inputs)
2025-08-26T20:24:20.2632413Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:24:20.2632814Z     return self.main(input)
2025-08-26T20:24:20.2632933Z 
2025-08-26T20:24:27.0877974Z Compilation time (from dynamo_timed): 9.089500543
2025-08-26T20:24:27.0879291Z pass
2025-08-26T20:24:27.0885568Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:27.0886456Z TIMING: _recursive_pre_grad_passes:0.00335 _recursive_joint_graph_passes:0.12184 _recursive_post_grad_passes:0.02003 async_compile.wait:0.64714 code_gen:6.71557 inductor_compile:7.02818 backend_compile:8.53549 gc:0.00098 entire_frame_compile:9.0895 total_wall_time:9.0895
2025-08-26T20:24:27.0887488Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1155 | attempt fast:26 | fast is_contiguous:26 | FakeTensor.__torch_dispatch__:371 | ProxyTorchDispatchMode.__torch_dispatch__:315
2025-08-26T20:24:27.0888105Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-08-26T20:24:31.0708737Z 
2025-08-26T20:24:32.9357889Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:32.9358403Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:24:32.9365811Z cpu  eval  demucs                             
2025-08-26T20:24:34.1870829Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:34.7673102Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:35.3432991Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:37.8834217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:37.8834655Z    File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward
2025-08-26T20:24:37.8834994Z     mix = sources.sum(dim=1)
2025-08-26T20:24:37.8835171Z 
2025-08-26T20:24:44.9616494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9616968Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9617306Z     x = encode(x)
2025-08-26T20:24:44.9617424Z 
2025-08-26T20:24:44.9617575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9617981Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9618287Z     x = encode(x)
2025-08-26T20:24:44.9618379Z 
2025-08-26T20:24:44.9618487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9618818Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9619115Z     x = encode(x)
2025-08-26T20:24:44.9619212Z 
2025-08-26T20:24:44.9619313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9619643Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9620225Z     x = encode(x)
2025-08-26T20:24:44.9620326Z 
2025-08-26T20:24:44.9620434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9620793Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9621110Z     x = encode(x)
2025-08-26T20:24:44.9621207Z 
2025-08-26T20:24:44.9621322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9621675Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9621995Z     x = encode(x)
2025-08-26T20:24:44.9622095Z 
2025-08-26T20:24:44.9622200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9622561Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9622859Z     x = encode(x)
2025-08-26T20:24:44.9622950Z 
2025-08-26T20:24:44.9623058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9623462Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9623782Z     x = encode(x)
2025-08-26T20:24:44.9623874Z 
2025-08-26T20:24:44.9623984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9624329Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9624622Z     x = encode(x)
2025-08-26T20:24:44.9624716Z 
2025-08-26T20:24:44.9624813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9625167Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9625476Z     x = encode(x)
2025-08-26T20:24:44.9625568Z 
2025-08-26T20:24:44.9625670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9626028Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9626337Z     x = encode(x)
2025-08-26T20:24:44.9626431Z 
2025-08-26T20:24:44.9626567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9626913Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9627249Z     x = encode(x)
2025-08-26T20:24:44.9627341Z 
2025-08-26T20:24:44.9627444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9627899Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9628210Z     x = encode(x)
2025-08-26T20:24:44.9628302Z 
2025-08-26T20:24:44.9628416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9628774Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9629089Z     x = encode(x)
2025-08-26T20:24:44.9629189Z 
2025-08-26T20:24:44.9629295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9629658Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9629983Z     x = encode(x)
2025-08-26T20:24:44.9630078Z 
2025-08-26T20:24:44.9630188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9630544Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9630860Z     x = encode(x)
2025-08-26T20:24:44.9630956Z 
2025-08-26T20:24:44.9631074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9631427Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9631751Z     x = encode(x)
2025-08-26T20:24:44.9631851Z 
2025-08-26T20:24:44.9631957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9632303Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9632856Z     x = encode(x)
2025-08-26T20:24:44.9632955Z 
2025-08-26T20:24:44.9633063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9633485Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9633808Z     x = encode(x)
2025-08-26T20:24:44.9633901Z 
2025-08-26T20:24:44.9634014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9634358Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9634648Z     x = encode(x)
2025-08-26T20:24:44.9634745Z 
2025-08-26T20:24:44.9634850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9635197Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9635510Z     x = encode(x)
2025-08-26T20:24:44.9635604Z 
2025-08-26T20:24:44.9635708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9636057Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9636380Z     x = encode(x)
2025-08-26T20:24:44.9636476Z 
2025-08-26T20:24:44.9636588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9636933Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9637311Z     x = encode(x)
2025-08-26T20:24:44.9637408Z 
2025-08-26T20:24:44.9637512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:44.9637865Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:44.9638176Z     x = encode(x)
2025-08-26T20:24:44.9638268Z 
2025-08-26T20:24:47.2377490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2378253Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2378787Z     x = x + skip
2025-08-26T20:24:47.2378951Z 
2025-08-26T20:24:47.2379271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2379752Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2380200Z     x = decode(x)
2025-08-26T20:24:47.2380303Z 
2025-08-26T20:24:47.2380420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2380852Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2381628Z     x = decode(x)
2025-08-26T20:24:47.2381734Z 
2025-08-26T20:24:47.2381836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2382235Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2382593Z     x = decode(x)
2025-08-26T20:24:47.2382682Z 
2025-08-26T20:24:47.2382782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2383176Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2383534Z     x = x + skip
2025-08-26T20:24:47.2383625Z 
2025-08-26T20:24:47.2383727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2384109Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2384460Z     x = decode(x)
2025-08-26T20:24:47.2384554Z 
2025-08-26T20:24:47.2384660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2385054Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2385403Z     x = decode(x)
2025-08-26T20:24:47.2385489Z 
2025-08-26T20:24:47.2385587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2385996Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2386425Z     x = decode(x)
2025-08-26T20:24:47.2386511Z 
2025-08-26T20:24:47.2386614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2387222Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2387592Z     x = x + skip
2025-08-26T20:24:47.2387695Z 
2025-08-26T20:24:47.2387801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2388228Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2388609Z     x = decode(x)
2025-08-26T20:24:47.2388701Z 
2025-08-26T20:24:47.2388805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2389237Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2389612Z     x = decode(x)
2025-08-26T20:24:47.2389705Z 
2025-08-26T20:24:47.2389817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2390234Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2390602Z     x = decode(x)
2025-08-26T20:24:47.2390723Z 
2025-08-26T20:24:47.2390824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2391249Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2391625Z     x = x + skip
2025-08-26T20:24:47.2391717Z 
2025-08-26T20:24:47.2391827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2392242Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2392919Z     x = decode(x)
2025-08-26T20:24:47.2393042Z 
2025-08-26T20:24:47.2393158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2393594Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2393982Z     x = decode(x)
2025-08-26T20:24:47.2394083Z 
2025-08-26T20:24:47.2394189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2394623Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2394996Z     x = decode(x)
2025-08-26T20:24:47.2395082Z 
2025-08-26T20:24:47.2395249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2395632Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2395985Z     x = x + skip
2025-08-26T20:24:47.2396081Z 
2025-08-26T20:24:47.2396177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2396560Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2396909Z     x = decode(x)
2025-08-26T20:24:47.2396996Z 
2025-08-26T20:24:47.2397093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2397482Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2397828Z     x = decode(x)
2025-08-26T20:24:47.2397913Z 
2025-08-26T20:24:47.2398016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2398396Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2398742Z     x = decode(x)
2025-08-26T20:24:47.2398833Z 
2025-08-26T20:24:47.2398930Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2399313Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2399650Z     x = x + skip
2025-08-26T20:24:47.2399735Z 
2025-08-26T20:24:47.2399828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2400202Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2400588Z     x = decode(x)
2025-08-26T20:24:47.2400670Z 
2025-08-26T20:24:47.2400770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2401147Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2401479Z     x = decode(x)
2025-08-26T20:24:47.2401567Z 
2025-08-26T20:24:47.2401664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:47.2402039Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:47.2402385Z     x = decode(x)
2025-08-26T20:24:47.2402468Z 
2025-08-26T20:24:49.2590594Z Compilation time (from dynamo_timed): 12.181783354
2025-08-26T20:24:49.2598053Z pass
2025-08-26T20:24:49.2607073Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:49.2608017Z TIMING: gc:0.00385 entire_frame_compile:12.18178 _recursive_pre_grad_passes:0.00496 _recursive_joint_graph_passes:0.3238 _recursive_post_grad_passes:0.02216 async_compile.wait:1.88248 code_gen:9.05557 inductor_compile:9.32001 backend_compile:10.60714 total_wall_time:12.18178
2025-08-26T20:24:49.2611326Z STATS: call_* op count: 62 | FakeTensorMode.__torch_dispatch__:2040 | ProxyTorchDispatchMode.__torch_dispatch__:595 | FakeTensor.__torch_dispatch__:383
2025-08-26T20:24:49.2611941Z Dynamo produced 3 graphs covering 62 ops with 3 graph breaks (1 unique)
2025-08-26T20:24:53.3308365Z 
2025-08-26T20:24:53.5489388Z 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
2025-08-26T20:24:53.5621555Z 
2025-08-26T20:24:53.5621925Z 
2025-08-26T20:24:53.6432248Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-08-26T20:24:53.6432810Z 100% 30.8M/30.8M [00:00<00:00, 404MB/s]
2025-08-26T20:24:53.9967996Z 
2025-08-26T20:24:53.9968790Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:54.0001565Z cpu  eval  densenet121                        
2025-08-26T20:24:54.5573206Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:54.7154159Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:54.8674015Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:25:31.7202193Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7206259Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7211844Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7217039Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7224337Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7226780Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7230099Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7230443Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7230671Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7230901Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7231124Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7231402Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7231670Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7231891Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7232108Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7232320Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7232851Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7233084Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7233312Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7233544Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7233846Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7234083Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7235359Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7235573Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7235780Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7236030Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7236278Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7236505Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7236719Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7236935Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7237149Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7237358Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7237567Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7237868Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7238170Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7238396Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7238608Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7238826Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7239029Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7239243Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7239456Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7239668Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7239877Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7240093Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7240309Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7240525Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7240736Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7240963Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7241188Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7241407Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7241624Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7241834Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7242064Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7242279Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7242489Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7242694Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7242912Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7243228Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7243460Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7243664Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7243920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7244335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7244702Z     return mod(*inputs)
2025-08-26T20:25:31.7245087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7245489Z     features = self.features(x)
2025-08-26T20:25:31.7245631Z 
2025-08-26T20:25:31.7245746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7246136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7246485Z     return mod(*inputs)
2025-08-26T20:25:31.7246842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7247229Z     features = self.features(x)
2025-08-26T20:25:31.7247355Z 
2025-08-26T20:25:31.7247474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7247860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7248213Z     return mod(*inputs)
2025-08-26T20:25:31.7248568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7248953Z     features = self.features(x)
2025-08-26T20:25:31.7249083Z 
2025-08-26T20:25:31.7249257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7249644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7249988Z     return mod(*inputs)
2025-08-26T20:25:31.7250336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7250719Z     features = self.features(x)
2025-08-26T20:25:31.7251078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7251461Z     new_features = layer(features)
2025-08-26T20:25:31.7251845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7252256Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7252679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7253177Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7253424Z 
2025-08-26T20:25:31.7253534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7253916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7254264Z     return mod(*inputs)
2025-08-26T20:25:31.7254608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7254982Z     features = self.features(x)
2025-08-26T20:25:31.7255340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7255723Z     new_features = layer(features)
2025-08-26T20:25:31.7256097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7256543Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7256756Z 
2025-08-26T20:25:31.7256864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7257247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7257593Z     return mod(*inputs)
2025-08-26T20:25:31.7257984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7258373Z     features = self.features(x)
2025-08-26T20:25:31.7258728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7259111Z     new_features = layer(features)
2025-08-26T20:25:31.7259483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7259937Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7260143Z 
2025-08-26T20:25:31.7260270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7260647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7260991Z     return mod(*inputs)
2025-08-26T20:25:31.7261340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7261724Z     features = self.features(x)
2025-08-26T20:25:31.7262078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7262467Z     new_features = layer(features)
2025-08-26T20:25:31.7262834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7263254Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7263675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7264118Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7264277Z 
2025-08-26T20:25:31.7264389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7264771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7265116Z     return mod(*inputs)
2025-08-26T20:25:31.7265459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7265837Z     features = self.features(x)
2025-08-26T20:25:31.7266199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7266576Z     new_features = layer(features)
2025-08-26T20:25:31.7266956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7267350Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7267766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7268254Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7268495Z 
2025-08-26T20:25:31.7268613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7268997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7269333Z     return mod(*inputs)
2025-08-26T20:25:31.7269677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7270056Z     features = self.features(x)
2025-08-26T20:25:31.7270410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7270789Z     new_features = layer(features)
2025-08-26T20:25:31.7271145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7271549Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7271960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7272661Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7273021Z 
2025-08-26T20:25:31.7273139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7273528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7273876Z     return mod(*inputs)
2025-08-26T20:25:31.7274239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7274611Z     features = self.features(x)
2025-08-26T20:25:31.7274962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7275341Z     new_features = layer(features)
2025-08-26T20:25:31.7275708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7276153Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7276358Z 
2025-08-26T20:25:31.7276472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7276862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7277211Z     return mod(*inputs)
2025-08-26T20:25:31.7277562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7277943Z     features = self.features(x)
2025-08-26T20:25:31.7278298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7278676Z     new_features = layer(features)
2025-08-26T20:25:31.7279103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7279565Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7279775Z 
2025-08-26T20:25:31.7279901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7280297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7280654Z     return mod(*inputs)
2025-08-26T20:25:31.7281013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7281398Z     features = self.features(x)
2025-08-26T20:25:31.7281760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7282156Z     new_features = layer(features)
2025-08-26T20:25:31.7282519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7282928Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7283341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7283739Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7283897Z 
2025-08-26T20:25:31.7284010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7284390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7284734Z     return mod(*inputs)
2025-08-26T20:25:31.7285079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7285463Z     features = self.features(x)
2025-08-26T20:25:31.7285837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7286220Z     new_features = layer(features)
2025-08-26T20:25:31.7286582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7286977Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7287433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7287918Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7288151Z 
2025-08-26T20:25:31.7288270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7288664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7289013Z     return mod(*inputs)
2025-08-26T20:25:31.7289370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7289756Z     features = self.features(x)
2025-08-26T20:25:31.7290127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7290506Z     new_features = layer(features)
2025-08-26T20:25:31.7290871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7291288Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7291701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7292193Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7292431Z 
2025-08-26T20:25:31.7292542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7292951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7293312Z     return mod(*inputs)
2025-08-26T20:25:31.7293708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7294094Z     features = self.features(x)
2025-08-26T20:25:31.7294468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7294855Z     new_features = layer(features)
2025-08-26T20:25:31.7295228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7295688Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7295899Z 
2025-08-26T20:25:31.7296013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7296424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7296780Z     return mod(*inputs)
2025-08-26T20:25:31.7297146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7297539Z     features = self.features(x)
2025-08-26T20:25:31.7297904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7298297Z     new_features = layer(features)
2025-08-26T20:25:31.7298676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7299122Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7299326Z 
2025-08-26T20:25:31.7299441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7299834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7300186Z     return mod(*inputs)
2025-08-26T20:25:31.7300544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7300925Z     features = self.features(x)
2025-08-26T20:25:31.7301287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7301680Z     new_features = layer(features)
2025-08-26T20:25:31.7302048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7302558Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7302973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7303372Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7303527Z 
2025-08-26T20:25:31.7303638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7304018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7304365Z     return mod(*inputs)
2025-08-26T20:25:31.7304714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7305104Z     features = self.features(x)
2025-08-26T20:25:31.7305476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7305868Z     new_features = layer(features)
2025-08-26T20:25:31.7306250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7306662Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7307093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7307611Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7307862Z 
2025-08-26T20:25:31.7307982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7308360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7308765Z     return mod(*inputs)
2025-08-26T20:25:31.7309123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7309499Z     features = self.features(x)
2025-08-26T20:25:31.7309863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7310240Z     new_features = layer(features)
2025-08-26T20:25:31.7310609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7311018Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7311434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7311919Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7312159Z 
2025-08-26T20:25:31.7312271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7312769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7313132Z     return mod(*inputs)
2025-08-26T20:25:31.7313489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7313861Z     features = self.features(x)
2025-08-26T20:25:31.7314230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7314862Z     new_features = layer(features)
2025-08-26T20:25:31.7315273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7315720Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7315929Z 
2025-08-26T20:25:31.7316040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7316434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7316773Z     return mod(*inputs)
2025-08-26T20:25:31.7317114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7317485Z     features = self.features(x)
2025-08-26T20:25:31.7317943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7318329Z     new_features = layer(features)
2025-08-26T20:25:31.7318702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7319145Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7319348Z 
2025-08-26T20:25:31.7319461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7319844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7320195Z     return mod(*inputs)
2025-08-26T20:25:31.7320558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7320938Z     features = self.features(x)
2025-08-26T20:25:31.7321286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7321652Z     new_features = layer(features)
2025-08-26T20:25:31.7322006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7322409Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7322803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7323207Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7323359Z 
2025-08-26T20:25:31.7323470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7323921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7324257Z     return mod(*inputs)
2025-08-26T20:25:31.7324591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7324973Z     features = self.features(x)
2025-08-26T20:25:31.7325322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7325702Z     new_features = layer(features)
2025-08-26T20:25:31.7326061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7326446Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7326851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7327333Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7327567Z 
2025-08-26T20:25:31.7327682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7328047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7328387Z     return mod(*inputs)
2025-08-26T20:25:31.7328725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7329089Z     features = self.features(x)
2025-08-26T20:25:31.7329441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7329803Z     new_features = layer(features)
2025-08-26T20:25:31.7330166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7330559Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7330963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7331436Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7331668Z 
2025-08-26T20:25:31.7331777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7332187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7332520Z     return mod(*inputs)
2025-08-26T20:25:31.7332858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7333214Z     features = self.features(x)
2025-08-26T20:25:31.7333561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7333927Z     new_features = layer(features)
2025-08-26T20:25:31.7334282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7334712Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7334914Z 
2025-08-26T20:25:31.7335018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7335394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7335727Z     return mod(*inputs)
2025-08-26T20:25:31.7336063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7336426Z     features = self.features(x)
2025-08-26T20:25:31.7336775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7337139Z     new_features = layer(features)
2025-08-26T20:25:31.7337493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7337960Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7338158Z 
2025-08-26T20:25:31.7338265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7338639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7338979Z     return mod(*inputs)
2025-08-26T20:25:31.7339315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7339678Z     features = self.features(x)
2025-08-26T20:25:31.7340017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7340378Z     new_features = layer(features)
2025-08-26T20:25:31.7340734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7341126Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7341525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7341974Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7342125Z 
2025-08-26T20:25:31.7342232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7342610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7342952Z     return mod(*inputs)
2025-08-26T20:25:31.7343286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7343665Z     features = self.features(x)
2025-08-26T20:25:31.7344012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7344388Z     new_features = layer(features)
2025-08-26T20:25:31.7344741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7345139Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7345539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7346057Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7346292Z 
2025-08-26T20:25:31.7346405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7346773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7347105Z     return mod(*inputs)
2025-08-26T20:25:31.7347443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7347805Z     features = self.features(x)
2025-08-26T20:25:31.7348169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7348539Z     new_features = layer(features)
2025-08-26T20:25:31.7348916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7349313Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7349715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7350193Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7350436Z 
2025-08-26T20:25:31.7350546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7350927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7351270Z     return mod(*inputs)
2025-08-26T20:25:31.7351616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7352024Z     features = self.features(x)
2025-08-26T20:25:31.7352383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7352882Z     new_features = layer(features)
2025-08-26T20:25:31.7353256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7353706Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7353914Z 
2025-08-26T20:25:31.7354028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7354416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7354766Z     return mod(*inputs)
2025-08-26T20:25:31.7355118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7355490Z     features = self.features(x)
2025-08-26T20:25:31.7355856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7356238Z     new_features = layer(features)
2025-08-26T20:25:31.7356610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7357058Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7357265Z 
2025-08-26T20:25:31.7357353Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7357632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7358017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7358365Z     return mod(*inputs)
2025-08-26T20:25:31.7358707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7359084Z     features = self.features(x)
2025-08-26T20:25:31.7359444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-26T20:25:31.7359832Z     return torch.cat(features, 1)
2025-08-26T20:25:31.7359966Z 
2025-08-26T20:25:31.7360083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7360461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7360852Z     return mod(*inputs)
2025-08-26T20:25:31.7361206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7361599Z     features = self.features(x)
2025-08-26T20:25:31.7361731Z 
2025-08-26T20:25:31.7361836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7362202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7362531Z     return mod(*inputs)
2025-08-26T20:25:31.7362870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7363238Z     features = self.features(x)
2025-08-26T20:25:31.7363355Z 
2025-08-26T20:25:31.7363462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7363829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7364164Z     return mod(*inputs)
2025-08-26T20:25:31.7364509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7364862Z     features = self.features(x)
2025-08-26T20:25:31.7365212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7365584Z     new_features = layer(features)
2025-08-26T20:25:31.7365938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7366326Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7366762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7367243Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7367483Z 
2025-08-26T20:25:31.7367592Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7367965Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7368292Z     return mod(*inputs)
2025-08-26T20:25:31.7368621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7368984Z     features = self.features(x)
2025-08-26T20:25:31.7369334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7369715Z     new_features = layer(features)
2025-08-26T20:25:31.7370064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7370493Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7370701Z 
2025-08-26T20:25:31.7370808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7371186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7371519Z     return mod(*inputs)
2025-08-26T20:25:31.7371848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7372213Z     features = self.features(x)
2025-08-26T20:25:31.7372561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7372924Z     new_features = layer(features)
2025-08-26T20:25:31.7373279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7373710Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7373916Z 
2025-08-26T20:25:31.7374025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7374400Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7374773Z     return mod(*inputs)
2025-08-26T20:25:31.7375107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7375468Z     features = self.features(x)
2025-08-26T20:25:31.7375815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7376175Z     new_features = layer(features)
2025-08-26T20:25:31.7376532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7376924Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7377332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7377720Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7377863Z 
2025-08-26T20:25:31.7377977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7378339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7378678Z     return mod(*inputs)
2025-08-26T20:25:31.7379013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7379375Z     features = self.features(x)
2025-08-26T20:25:31.7379721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7380089Z     new_features = layer(features)
2025-08-26T20:25:31.7380426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7380856Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7381262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7381731Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7381969Z 
2025-08-26T20:25:31.7382079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7382449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7382785Z     return mod(*inputs)
2025-08-26T20:25:31.7383103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7383438Z     features = self.features(x)
2025-08-26T20:25:31.7383765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7384131Z     new_features = layer(features)
2025-08-26T20:25:31.7384486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7384888Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7385288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7385758Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7385992Z 
2025-08-26T20:25:31.7386099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7386469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7386799Z     return mod(*inputs)
2025-08-26T20:25:31.7387129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7387500Z     features = self.features(x)
2025-08-26T20:25:31.7387852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7388231Z     new_features = layer(features)
2025-08-26T20:25:31.7388581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7389045Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7389254Z 
2025-08-26T20:25:31.7389363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7389734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7390065Z     return mod(*inputs)
2025-08-26T20:25:31.7390394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7390759Z     features = self.features(x)
2025-08-26T20:25:31.7391109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7391472Z     new_features = layer(features)
2025-08-26T20:25:31.7391822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7392251Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7392457Z 
2025-08-26T20:25:31.7392671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7393060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7393411Z     return mod(*inputs)
2025-08-26T20:25:31.7393745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7394110Z     features = self.features(x)
2025-08-26T20:25:31.7394466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7394881Z     new_features = layer(features)
2025-08-26T20:25:31.7395214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7395591Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7395975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7396351Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7396495Z 
2025-08-26T20:25:31.7396609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7396984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7397336Z     return mod(*inputs)
2025-08-26T20:25:31.7397685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7398086Z     features = self.features(x)
2025-08-26T20:25:31.7398445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7398815Z     new_features = layer(features)
2025-08-26T20:25:31.7399170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7399568Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7399973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7400438Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7400676Z 
2025-08-26T20:25:31.7400781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7401152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7401501Z     return mod(*inputs)
2025-08-26T20:25:31.7401838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7402701Z     features = self.features(x)
2025-08-26T20:25:31.7403050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7403426Z     new_features = layer(features)
2025-08-26T20:25:31.7403824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7404223Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7404621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7405100Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7405337Z 
2025-08-26T20:25:31.7405445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7405813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7406148Z     return mod(*inputs)
2025-08-26T20:25:31.7406468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7406809Z     features = self.features(x)
2025-08-26T20:25:31.7407144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7407493Z     new_features = layer(features)
2025-08-26T20:25:31.7407823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7408226Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7408419Z 
2025-08-26T20:25:31.7408519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7408868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7409231Z     return mod(*inputs)
2025-08-26T20:25:31.7409544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7409892Z     features = self.features(x)
2025-08-26T20:25:31.7410228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7410573Z     new_features = layer(features)
2025-08-26T20:25:31.7410911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7411319Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7411517Z 
2025-08-26T20:25:31.7411620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7411972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7412292Z     return mod(*inputs)
2025-08-26T20:25:31.7412613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7412960Z     features = self.features(x)
2025-08-26T20:25:31.7413292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7413641Z     new_features = layer(features)
2025-08-26T20:25:31.7413973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7414347Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7414930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7415304Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7415440Z 
2025-08-26T20:25:31.7415549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7415895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7416220Z     return mod(*inputs)
2025-08-26T20:25:31.7416543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7416893Z     features = self.features(x)
2025-08-26T20:25:31.7417294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7417644Z     new_features = layer(features)
2025-08-26T20:25:31.7417976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7418349Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7418732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7419173Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7419404Z 
2025-08-26T20:25:31.7419507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7419863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7420183Z     return mod(*inputs)
2025-08-26T20:25:31.7420512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7420858Z     features = self.features(x)
2025-08-26T20:25:31.7421189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7421534Z     new_features = layer(features)
2025-08-26T20:25:31.7421892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7422279Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7422685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7423204Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7423438Z 
2025-08-26T20:25:31.7423541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7423894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7424210Z     return mod(*inputs)
2025-08-26T20:25:31.7424529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7424876Z     features = self.features(x)
2025-08-26T20:25:31.7425206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7425555Z     new_features = layer(features)
2025-08-26T20:25:31.7425883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7426288Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7426487Z 
2025-08-26T20:25:31.7426588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7426940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7427254Z     return mod(*inputs)
2025-08-26T20:25:31.7427578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7427929Z     features = self.features(x)
2025-08-26T20:25:31.7428262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7428640Z     new_features = layer(features)
2025-08-26T20:25:31.7428992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7429424Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7429634Z 
2025-08-26T20:25:31.7429742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7430117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7430450Z     return mod(*inputs)
2025-08-26T20:25:31.7430836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7431201Z     features = self.features(x)
2025-08-26T20:25:31.7431542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7431914Z     new_features = layer(features)
2025-08-26T20:25:31.7432258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7432739Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7433146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7433544Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7433691Z 
2025-08-26T20:25:31.7433809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7434174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7434513Z     return mod(*inputs)
2025-08-26T20:25:31.7434857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7435207Z     features = self.features(x)
2025-08-26T20:25:31.7435531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7435883Z     new_features = layer(features)
2025-08-26T20:25:31.7436244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7436645Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7437068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7437532Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7437772Z 
2025-08-26T20:25:31.7437881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7438251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7438586Z     return mod(*inputs)
2025-08-26T20:25:31.7438922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7439277Z     features = self.features(x)
2025-08-26T20:25:31.7439623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7439990Z     new_features = layer(features)
2025-08-26T20:25:31.7440345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7440735Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7441137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7441609Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7441840Z 
2025-08-26T20:25:31.7441956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7442330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7442651Z     return mod(*inputs)
2025-08-26T20:25:31.7442990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7443350Z     features = self.features(x)
2025-08-26T20:25:31.7443700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7444058Z     new_features = layer(features)
2025-08-26T20:25:31.7444417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7444850Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7445047Z 
2025-08-26T20:25:31.7445204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7445581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7445904Z     return mod(*inputs)
2025-08-26T20:25:31.7446242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7446605Z     features = self.features(x)
2025-08-26T20:25:31.7446951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7447327Z     new_features = layer(features)
2025-08-26T20:25:31.7447676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7448101Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7448303Z 
2025-08-26T20:25:31.7448410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7448778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7449102Z     return mod(*inputs)
2025-08-26T20:25:31.7449438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7449802Z     features = self.features(x)
2025-08-26T20:25:31.7450146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7450519Z     new_features = layer(features)
2025-08-26T20:25:31.7450865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7451305Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7451707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7452106Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7452252Z 
2025-08-26T20:25:31.7452367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7452734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7453072Z     return mod(*inputs)
2025-08-26T20:25:31.7453413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7453780Z     features = self.features(x)
2025-08-26T20:25:31.7454125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7454507Z     new_features = layer(features)
2025-08-26T20:25:31.7454847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7455223Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7455607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7456054Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7456285Z 
2025-08-26T20:25:31.7456387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7456741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7457061Z     return mod(*inputs)
2025-08-26T20:25:31.7457377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7457729Z     features = self.features(x)
2025-08-26T20:25:31.7458061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7458410Z     new_features = layer(features)
2025-08-26T20:25:31.7458750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7459155Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7459536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7460079Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7460296Z 
2025-08-26T20:25:31.7460402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7460749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7461055Z     return mod(*inputs)
2025-08-26T20:25:31.7461375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7461721Z     features = self.features(x)
2025-08-26T20:25:31.7462053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7462397Z     new_features = layer(features)
2025-08-26T20:25:31.7462738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7463143Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7463330Z 
2025-08-26T20:25:31.7463439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7463799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7464099Z     return mod(*inputs)
2025-08-26T20:25:31.7464409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7464802Z     features = self.features(x)
2025-08-26T20:25:31.7465140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7465488Z     new_features = layer(features)
2025-08-26T20:25:31.7465831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7466237Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7466424Z 
2025-08-26T20:25:31.7466535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7466892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7467205Z     return mod(*inputs)
2025-08-26T20:25:31.7467531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7467881Z     features = self.features(x)
2025-08-26T20:25:31.7468220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7468574Z     new_features = layer(features)
2025-08-26T20:25:31.7468929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7469334Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7469748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7470146Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7470294Z 
2025-08-26T20:25:31.7470405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7470785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7471127Z     return mod(*inputs)
2025-08-26T20:25:31.7471473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7471846Z     features = self.features(x)
2025-08-26T20:25:31.7472200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7472657Z     new_features = layer(features)
2025-08-26T20:25:31.7473079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7473492Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7473904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7474400Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7474648Z 
2025-08-26T20:25:31.7474759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7475150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7475515Z     return mod(*inputs)
2025-08-26T20:25:31.7475847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7476219Z     features = self.features(x)
2025-08-26T20:25:31.7476578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7476947Z     new_features = layer(features)
2025-08-26T20:25:31.7477318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7477716Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7478121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7478602Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7478881Z 
2025-08-26T20:25:31.7478999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7479370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7479721Z     return mod(*inputs)
2025-08-26T20:25:31.7480179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7480579Z     features = self.features(x)
2025-08-26T20:25:31.7480932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7481309Z     new_features = layer(features)
2025-08-26T20:25:31.7481691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7482145Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7482342Z 
2025-08-26T20:25:31.7482458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7482854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7483193Z     return mod(*inputs)
2025-08-26T20:25:31.7483550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7483943Z     features = self.features(x)
2025-08-26T20:25:31.7484299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7484670Z     new_features = layer(features)
2025-08-26T20:25:31.7485026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7485457Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7485653Z 
2025-08-26T20:25:31.7485769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7486154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7486488Z     return mod(*inputs)
2025-08-26T20:25:31.7486829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7487203Z     features = self.features(x)
2025-08-26T20:25:31.7487609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7487969Z     new_features = layer(features)
2025-08-26T20:25:31.7488327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7488721Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7489125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7489519Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7489665Z 
2025-08-26T20:25:31.7489776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7490163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7490502Z     return mod(*inputs)
2025-08-26T20:25:31.7490842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7491223Z     features = self.features(x)
2025-08-26T20:25:31.7491569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7491943Z     new_features = layer(features)
2025-08-26T20:25:31.7492301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7492696Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7493094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7493646Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7493883Z 
2025-08-26T20:25:31.7493992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7494362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7494709Z     return mod(*inputs)
2025-08-26T20:25:31.7495019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7495377Z     features = self.features(x)
2025-08-26T20:25:31.7495724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7496102Z     new_features = layer(features)
2025-08-26T20:25:31.7496454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7496850Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7497254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7497731Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7497948Z 
2025-08-26T20:25:31.7498059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7498415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7498746Z     return mod(*inputs)
2025-08-26T20:25:31.7499080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7499442Z     features = self.features(x)
2025-08-26T20:25:31.7499790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7500141Z     new_features = layer(features)
2025-08-26T20:25:31.7500496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7500918Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7501114Z 
2025-08-26T20:25:31.7501228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7501630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7501967Z     return mod(*inputs)
2025-08-26T20:25:31.7502303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7502669Z     features = self.features(x)
2025-08-26T20:25:31.7503016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7503374Z     new_features = layer(features)
2025-08-26T20:25:31.7503729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7504161Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7504357Z 
2025-08-26T20:25:31.7504474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7504844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7505174Z     return mod(*inputs)
2025-08-26T20:25:31.7505510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7505872Z     features = self.features(x)
2025-08-26T20:25:31.7506216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7506571Z     new_features = layer(features)
2025-08-26T20:25:31.7506923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7507317Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7507759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7508151Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7508297Z 
2025-08-26T20:25:31.7508406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7508779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7509111Z     return mod(*inputs)
2025-08-26T20:25:31.7509451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7509808Z     features = self.features(x)
2025-08-26T20:25:31.7510158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7510527Z     new_features = layer(features)
2025-08-26T20:25:31.7510879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7511281Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7511677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7512165Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7512413Z 
2025-08-26T20:25:31.7512616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7513019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7513364Z     return mod(*inputs)
2025-08-26T20:25:31.7513703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7514084Z     features = self.features(x)
2025-08-26T20:25:31.7514612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7515001Z     new_features = layer(features)
2025-08-26T20:25:31.7515354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7515758Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7516241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7516691Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7516905Z 
2025-08-26T20:25:31.7517015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7517359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7517676Z     return mod(*inputs)
2025-08-26T20:25:31.7517992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7518346Z     features = self.features(x)
2025-08-26T20:25:31.7518670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7519017Z     new_features = layer(features)
2025-08-26T20:25:31.7519343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7519728Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7519905Z 
2025-08-26T20:25:31.7520008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7520331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7520636Z     return mod(*inputs)
2025-08-26T20:25:31.7520945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7521280Z     features = self.features(x)
2025-08-26T20:25:31.7521653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7521984Z     new_features = layer(features)
2025-08-26T20:25:31.7522314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7522708Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7522888Z 
2025-08-26T20:25:31.7522995Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7523330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7523639Z     return mod(*inputs)
2025-08-26T20:25:31.7523950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7524291Z     features = self.features(x)
2025-08-26T20:25:31.7524602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7524934Z     new_features = layer(features)
2025-08-26T20:25:31.7525258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7525624Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7526002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7526358Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7526492Z 
2025-08-26T20:25:31.7526593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7526934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7527244Z     return mod(*inputs)
2025-08-26T20:25:31.7527553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7527883Z     features = self.features(x)
2025-08-26T20:25:31.7528218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7528568Z     new_features = layer(features)
2025-08-26T20:25:31.7528901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7529349Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7529714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7530146Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7530366Z 
2025-08-26T20:25:31.7530465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7530803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7531102Z     return mod(*inputs)
2025-08-26T20:25:31.7531417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7531749Z     features = self.features(x)
2025-08-26T20:25:31.7532072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7532413Z     new_features = layer(features)
2025-08-26T20:25:31.7532735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7533101Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7533478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7533929Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7534148Z 
2025-08-26T20:25:31.7534258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7534651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7534965Z     return mod(*inputs)
2025-08-26T20:25:31.7535285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7535637Z     features = self.features(x)
2025-08-26T20:25:31.7535952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7536294Z     new_features = layer(features)
2025-08-26T20:25:31.7536622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7537021Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7537206Z 
2025-08-26T20:25:31.7537315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7537657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7537975Z     return mod(*inputs)
2025-08-26T20:25:31.7538293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7538643Z     features = self.features(x)
2025-08-26T20:25:31.7538974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7539324Z     new_features = layer(features)
2025-08-26T20:25:31.7539658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7540066Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7540245Z 
2025-08-26T20:25:31.7540350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7540679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7540990Z     return mod(*inputs)
2025-08-26T20:25:31.7541305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7541644Z     features = self.features(x)
2025-08-26T20:25:31.7541964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7542329Z     new_features = layer(features)
2025-08-26T20:25:31.7542657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7543018Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7543388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7543750Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7543894Z 
2025-08-26T20:25:31.7543993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7544346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7544658Z     return mod(*inputs)
2025-08-26T20:25:31.7544969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7545300Z     features = self.features(x)
2025-08-26T20:25:31.7545624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7545958Z     new_features = layer(features)
2025-08-26T20:25:31.7546282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7546644Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7547021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7547466Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7547718Z 
2025-08-26T20:25:31.7547824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7548174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7548480Z     return mod(*inputs)
2025-08-26T20:25:31.7548801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7549164Z     features = self.features(x)
2025-08-26T20:25:31.7549510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7549887Z     new_features = layer(features)
2025-08-26T20:25:31.7550236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7550631Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7551031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7551507Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7551736Z 
2025-08-26T20:25:31.7551853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7552219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7552661Z     return mod(*inputs)
2025-08-26T20:25:31.7553017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7553403Z     features = self.features(x)
2025-08-26T20:25:31.7553753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7554131Z     new_features = layer(features)
2025-08-26T20:25:31.7554468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7554886Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7555075Z 
2025-08-26T20:25:31.7555196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7555535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7555850Z     return mod(*inputs)
2025-08-26T20:25:31.7556204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7556550Z     features = self.features(x)
2025-08-26T20:25:31.7556879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7557226Z     new_features = layer(features)
2025-08-26T20:25:31.7557561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7557968Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7558156Z 
2025-08-26T20:25:31.7558266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7558609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7558925Z     return mod(*inputs)
2025-08-26T20:25:31.7559245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7559587Z     features = self.features(x)
2025-08-26T20:25:31.7559909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7560253Z     new_features = layer(features)
2025-08-26T20:25:31.7560589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7560961Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7561339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7561733Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7561882Z 
2025-08-26T20:25:31.7561986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7562358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7562694Z     return mod(*inputs)
2025-08-26T20:25:31.7563031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7563390Z     features = self.features(x)
2025-08-26T20:25:31.7563743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7564089Z     new_features = layer(features)
2025-08-26T20:25:31.7564426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7564791Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7565174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7565624Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7565841Z 
2025-08-26T20:25:31.7565955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7566309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7566618Z     return mod(*inputs)
2025-08-26T20:25:31.7566935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7567277Z     features = self.features(x)
2025-08-26T20:25:31.7567607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7567945Z     new_features = layer(features)
2025-08-26T20:25:31.7568298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7568697Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7569099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7569606Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7569849Z 
2025-08-26T20:25:31.7569951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7570303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7570635Z     return mod(*inputs)
2025-08-26T20:25:31.7570975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7571350Z     features = self.features(x)
2025-08-26T20:25:31.7571690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7572060Z     new_features = layer(features)
2025-08-26T20:25:31.7572419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7572843Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7573042Z 
2025-08-26T20:25:31.7573158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7573526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7573856Z     return mod(*inputs)
2025-08-26T20:25:31.7574195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7574568Z     features = self.features(x)
2025-08-26T20:25:31.7574907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7575314Z     new_features = layer(features)
2025-08-26T20:25:31.7575674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7576121Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7576320Z 
2025-08-26T20:25:31.7576413Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7576639Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7576858Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7577078Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7577291Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7577494Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7577737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7578117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7578456Z     return mod(*inputs)
2025-08-26T20:25:31.7578788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7579158Z     features = self.features(x)
2025-08-26T20:25:31.7579510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-26T20:25:31.7579884Z     return torch.cat(features, 1)
2025-08-26T20:25:31.7580017Z 
2025-08-26T20:25:31.7580135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7580479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7580795Z     return mod(*inputs)
2025-08-26T20:25:31.7581115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7581462Z     features = self.features(x)
2025-08-26T20:25:31.7581575Z 
2025-08-26T20:25:31.7581676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7582032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7582354Z     return mod(*inputs)
2025-08-26T20:25:31.7582674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7583022Z     features = self.features(x)
2025-08-26T20:25:31.7583133Z 
2025-08-26T20:25:31.7583270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7583623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7583940Z     return mod(*inputs)
2025-08-26T20:25:31.7584264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7584607Z     features = self.features(x)
2025-08-26T20:25:31.7584940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7585286Z     new_features = layer(features)
2025-08-26T20:25:31.7585629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7586002Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7586379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7586832Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7587058Z 
2025-08-26T20:25:31.7587159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7587508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7587823Z     return mod(*inputs)
2025-08-26T20:25:31.7588138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7588483Z     features = self.features(x)
2025-08-26T20:25:31.7588860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7589213Z     new_features = layer(features)
2025-08-26T20:25:31.7589657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7590090Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7590301Z 
2025-08-26T20:25:31.7590409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7590783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7591118Z     return mod(*inputs)
2025-08-26T20:25:31.7591450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7591815Z     features = self.features(x)
2025-08-26T20:25:31.7592168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7592622Z     new_features = layer(features)
2025-08-26T20:25:31.7592986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7593418Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7593624Z 
2025-08-26T20:25:31.7593736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7594111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7594443Z     return mod(*inputs)
2025-08-26T20:25:31.7594777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7595149Z     features = self.features(x)
2025-08-26T20:25:31.7595485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7595556Z     new_features = layer(features)
2025-08-26T20:25:31.7595780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7595884Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7596119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7596240Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7596245Z 
2025-08-26T20:25:31.7596345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7596544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7596607Z     return mod(*inputs)
2025-08-26T20:25:31.7596826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7596894Z     features = self.features(x)
2025-08-26T20:25:31.7597104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7597185Z     new_features = layer(features)
2025-08-26T20:25:31.7597397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7597502Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7597728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7597900Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7597903Z 
2025-08-26T20:25:31.7598010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7598202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7598274Z     return mod(*inputs)
2025-08-26T20:25:31.7598490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7598599Z     features = self.features(x)
2025-08-26T20:25:31.7598810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7598878Z     new_features = layer(features)
2025-08-26T20:25:31.7599099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7599198Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7599428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7599591Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7599594Z 
2025-08-26T20:25:31.7599701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7599895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7599961Z     return mod(*inputs)
2025-08-26T20:25:31.7600178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7600246Z     features = self.features(x)
2025-08-26T20:25:31.7600468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7600538Z     new_features = layer(features)
2025-08-26T20:25:31.7600750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7600890Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7600894Z 
2025-08-26T20:25:31.7600995Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7601196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7601259Z     return mod(*inputs)
2025-08-26T20:25:31.7601477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7601554Z     features = self.features(x)
2025-08-26T20:25:31.7601767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7601874Z     new_features = layer(features)
2025-08-26T20:25:31.7602088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7602218Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7602228Z 
2025-08-26T20:25:31.7602327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7602516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7602585Z     return mod(*inputs)
2025-08-26T20:25:31.7602796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7602873Z     features = self.features(x)
2025-08-26T20:25:31.7603082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7603150Z     new_features = layer(features)
2025-08-26T20:25:31.7603370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7603469Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7603698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7603784Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7603787Z 
2025-08-26T20:25:31.7603886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7604086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7604184Z     return mod(*inputs)
2025-08-26T20:25:31.7604407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7604474Z     features = self.features(x)
2025-08-26T20:25:31.7604695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7604768Z     new_features = layer(features)
2025-08-26T20:25:31.7604981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7605087Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7605307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7605473Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7605477Z 
2025-08-26T20:25:31.7605575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7605769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7605839Z     return mod(*inputs)
2025-08-26T20:25:31.7606056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7606133Z     features = self.features(x)
2025-08-26T20:25:31.7606346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7606415Z     new_features = layer(features)
2025-08-26T20:25:31.7606634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7606732Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7606961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7607122Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7607128Z 
2025-08-26T20:25:31.7607232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7607424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7607485Z     return mod(*inputs)
2025-08-26T20:25:31.7607744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7607814Z     features = self.features(x)
2025-08-26T20:25:31.7608033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7608101Z     new_features = layer(features)
2025-08-26T20:25:31.7608309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7608444Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7608452Z 
2025-08-26T20:25:31.7608551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7608746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7608808Z     return mod(*inputs)
2025-08-26T20:25:31.7609038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7609103Z     features = self.features(x)
2025-08-26T20:25:31.7609309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7609383Z     new_features = layer(features)
2025-08-26T20:25:31.7609585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7609715Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7609718Z 
2025-08-26T20:25:31.7609814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7610036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7610104Z     return mod(*inputs)
2025-08-26T20:25:31.7610309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7610382Z     features = self.features(x)
2025-08-26T20:25:31.7610584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7610649Z     new_features = layer(features)
2025-08-26T20:25:31.7610861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7610959Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7611179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7611261Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7611267Z 
2025-08-26T20:25:31.7611372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7611559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7611620Z     return mod(*inputs)
2025-08-26T20:25:31.7611840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7611907Z     features = self.features(x)
2025-08-26T20:25:31.7612127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7612194Z     new_features = layer(features)
2025-08-26T20:25:31.7612404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7612513Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7612734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7612906Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7612909Z 
2025-08-26T20:25:31.7613008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7613237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7613310Z     return mod(*inputs)
2025-08-26T20:25:31.7613533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7613607Z     features = self.features(x)
2025-08-26T20:25:31.7613811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7613886Z     new_features = layer(features)
2025-08-26T20:25:31.7614091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7614192Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7614602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7614766Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7614774Z 
2025-08-26T20:25:31.7614889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7615077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7615140Z     return mod(*inputs)
2025-08-26T20:25:31.7615358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7615425Z     features = self.features(x)
2025-08-26T20:25:31.7615643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7615780Z     new_features = layer(features)
2025-08-26T20:25:31.7615985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7616117Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7616120Z 
2025-08-26T20:25:31.7616218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7616410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7616471Z     return mod(*inputs)
2025-08-26T20:25:31.7616681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7616747Z     features = self.features(x)
2025-08-26T20:25:31.7616952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7617027Z     new_features = layer(features)
2025-08-26T20:25:31.7617230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7617364Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7617367Z 
2025-08-26T20:25:31.7617463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7617649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7617720Z     return mod(*inputs)
2025-08-26T20:25:31.7617925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7617999Z     features = self.features(x)
2025-08-26T20:25:31.7618206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7618282Z     new_features = layer(features)
2025-08-26T20:25:31.7618495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7618599Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7618838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7618922Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7618925Z 
2025-08-26T20:25:31.7619072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7619261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7619322Z     return mod(*inputs)
2025-08-26T20:25:31.7619536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7619601Z     features = self.features(x)
2025-08-26T20:25:31.7619812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7619879Z     new_features = layer(features)
2025-08-26T20:25:31.7620085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7620186Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7620403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7620569Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7620573Z 
2025-08-26T20:25:31.7620667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7620855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7620917Z     return mod(*inputs)
2025-08-26T20:25:31.7621123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7621197Z     features = self.features(x)
2025-08-26T20:25:31.7621405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7621516Z     new_features = layer(features)
2025-08-26T20:25:31.7621723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7621822Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7622053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7622214Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7622218Z 
2025-08-26T20:25:31.7622321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7622510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7622580Z     return mod(*inputs)
2025-08-26T20:25:31.7622796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7622867Z     features = self.features(x)
2025-08-26T20:25:31.7623094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7623161Z     new_features = layer(features)
2025-08-26T20:25:31.7623374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7623501Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7623504Z 
2025-08-26T20:25:31.7623598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7623790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7623852Z     return mod(*inputs)
2025-08-26T20:25:31.7624069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7624138Z     features = self.features(x)
2025-08-26T20:25:31.7624342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7624415Z     new_features = layer(features)
2025-08-26T20:25:31.7624651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7624783Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7624787Z 
2025-08-26T20:25:31.7624884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7625074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7625135Z     return mod(*inputs)
2025-08-26T20:25:31.7625341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7625415Z     features = self.features(x)
2025-08-26T20:25:31.7625622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7625702Z     new_features = layer(features)
2025-08-26T20:25:31.7625905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7626004Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7626227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7626308Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7626311Z 
2025-08-26T20:25:31.7626415Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7626600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7626660Z     return mod(*inputs)
2025-08-26T20:25:31.7626872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7626975Z     features = self.features(x)
2025-08-26T20:25:31.7627191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7627259Z     new_features = layer(features)
2025-08-26T20:25:31.7627480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7627580Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7627801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7627983Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7627987Z 
2025-08-26T20:25:31.7628093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7628302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7628372Z     return mod(*inputs)
2025-08-26T20:25:31.7628595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7628677Z     features = self.features(x)
2025-08-26T20:25:31.7628903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7628984Z     new_features = layer(features)
2025-08-26T20:25:31.7629213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7629312Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7629541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7629704Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7629708Z 
2025-08-26T20:25:31.7629815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7630010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7630079Z     return mod(*inputs)
2025-08-26T20:25:31.7630298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7630398Z     features = self.features(x)
2025-08-26T20:25:31.7630622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7630691Z     new_features = layer(features)
2025-08-26T20:25:31.7630909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7631038Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7631041Z 
2025-08-26T20:25:31.7631139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7631339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7631405Z     return mod(*inputs)
2025-08-26T20:25:31.7631626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7631694Z     features = self.features(x)
2025-08-26T20:25:31.7631915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7631984Z     new_features = layer(features)
2025-08-26T20:25:31.7632198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7632338Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7632341Z 
2025-08-26T20:25:31.7632439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7632777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7632888Z     return mod(*inputs)
2025-08-26T20:25:31.7633117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7633199Z     features = self.features(x)
2025-08-26T20:25:31.7633434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7633514Z     new_features = layer(features)
2025-08-26T20:25:31.7633741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7633850Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7634098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7634187Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7634191Z 
2025-08-26T20:25:31.7634312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7634511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7634585Z     return mod(*inputs)
2025-08-26T20:25:31.7634800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7634871Z     features = self.features(x)
2025-08-26T20:25:31.7635101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7635171Z     new_features = layer(features)
2025-08-26T20:25:31.7635396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7635496Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7635722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7635892Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7635898Z 
2025-08-26T20:25:31.7635999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7636203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7636266Z     return mod(*inputs)
2025-08-26T20:25:31.7636526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7636602Z     features = self.features(x)
2025-08-26T20:25:31.7636813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7636889Z     new_features = layer(features)
2025-08-26T20:25:31.7637100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7637204Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7637425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7637590Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7637594Z 
2025-08-26T20:25:31.7637702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7637898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7637967Z     return mod(*inputs)
2025-08-26T20:25:31.7638178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7638248Z     features = self.features(x)
2025-08-26T20:25:31.7638467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7638537Z     new_features = layer(features)
2025-08-26T20:25:31.7638756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7638923Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7638926Z 
2025-08-26T20:25:31.7639031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7639227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7639292Z     return mod(*inputs)
2025-08-26T20:25:31.7639514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7639583Z     features = self.features(x)
2025-08-26T20:25:31.7639807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7639877Z     new_features = layer(features)
2025-08-26T20:25:31.7640089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7640222Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7640229Z 
2025-08-26T20:25:31.7640329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7640526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7640588Z     return mod(*inputs)
2025-08-26T20:25:31.7640803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7640880Z     features = self.features(x)
2025-08-26T20:25:31.7641093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7641170Z     new_features = layer(features)
2025-08-26T20:25:31.7641380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7641489Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7641717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7641805Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7641809Z 
2025-08-26T20:25:31.7641917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7642143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7642217Z     return mod(*inputs)
2025-08-26T20:25:31.7642430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7642496Z     features = self.features(x)
2025-08-26T20:25:31.7642716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7642785Z     new_features = layer(features)
2025-08-26T20:25:31.7643005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7643108Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7643330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7643499Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7643502Z 
2025-08-26T20:25:31.7643601Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7643801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7643862Z     return mod(*inputs)
2025-08-26T20:25:31.7644080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7644148Z     features = self.features(x)
2025-08-26T20:25:31.7644359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7644435Z     new_features = layer(features)
2025-08-26T20:25:31.7644679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7644786Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7645009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7645171Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7645183Z 
2025-08-26T20:25:31.7645281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7645470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7645539Z     return mod(*inputs)
2025-08-26T20:25:31.7645761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7645835Z     features = self.features(x)
2025-08-26T20:25:31.7646048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7646119Z     new_features = layer(features)
2025-08-26T20:25:31.7646334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7646462Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7646466Z 
2025-08-26T20:25:31.7646569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7646754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7646814Z     return mod(*inputs)
2025-08-26T20:25:31.7647029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7647095Z     features = self.features(x)
2025-08-26T20:25:31.7647314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7647385Z     new_features = layer(features)
2025-08-26T20:25:31.7647595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7647729Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7647733Z 
2025-08-26T20:25:31.7647868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7648068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7648129Z     return mod(*inputs)
2025-08-26T20:25:31.7648345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7648410Z     features = self.features(x)
2025-08-26T20:25:31.7648622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7648701Z     new_features = layer(features)
2025-08-26T20:25:31.7648909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7649014Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7649237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7649318Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7649322Z 
2025-08-26T20:25:31.7649427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7649615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7649683Z     return mod(*inputs)
2025-08-26T20:25:31.7649889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7649955Z     features = self.features(x)
2025-08-26T20:25:31.7650172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7650279Z     new_features = layer(features)
2025-08-26T20:25:31.7650496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7650600Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7650831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7650993Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7650996Z 
2025-08-26T20:25:31.7651096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7651294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7651357Z     return mod(*inputs)
2025-08-26T20:25:31.7651575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7651644Z     features = self.features(x)
2025-08-26T20:25:31.7651857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7651934Z     new_features = layer(features)
2025-08-26T20:25:31.7652149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7652255Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7652476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7652646Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7652650Z 
2025-08-26T20:25:31.7652750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7652940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7653015Z     return mod(*inputs)
2025-08-26T20:25:31.7653224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7653300Z     features = self.features(x)
2025-08-26T20:25:31.7653544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7653615Z     new_features = layer(features)
2025-08-26T20:25:31.7653835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7653966Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7653969Z 
2025-08-26T20:25:31.7654076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7654269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7654331Z     return mod(*inputs)
2025-08-26T20:25:31.7654554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7654622Z     features = self.features(x)
2025-08-26T20:25:31.7654843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7654915Z     new_features = layer(features)
2025-08-26T20:25:31.7655134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7655263Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7655266Z 
2025-08-26T20:25:31.7655365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7655567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7655629Z     return mod(*inputs)
2025-08-26T20:25:31.7655861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7655998Z     features = self.features(x)
2025-08-26T20:25:31.7656203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7656276Z     new_features = layer(features)
2025-08-26T20:25:31.7656482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7656588Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7656803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7656884Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7656894Z 
2025-08-26T20:25:31.7656997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7657198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7657275Z     return mod(*inputs)
2025-08-26T20:25:31.7657497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7657575Z     features = self.features(x)
2025-08-26T20:25:31.7657800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7657872Z     new_features = layer(features)
2025-08-26T20:25:31.7658102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7658208Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7658449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7658621Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7658624Z 
2025-08-26T20:25:31.7658729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7658952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7659014Z     return mod(*inputs)
2025-08-26T20:25:31.7659233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7660021Z     features = self.features(x)
2025-08-26T20:25:31.7660254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7660425Z     new_features = layer(features)
2025-08-26T20:25:31.7660648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7660756Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7660984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7661156Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7661164Z 
2025-08-26T20:25:31.7661268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7661464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7661536Z     return mod(*inputs)
2025-08-26T20:25:31.7661758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7661839Z     features = self.features(x)
2025-08-26T20:25:31.7662062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7662130Z     new_features = layer(features)
2025-08-26T20:25:31.7662349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7662476Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7662517Z 
2025-08-26T20:25:31.7662626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7662815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7662883Z     return mod(*inputs)
2025-08-26T20:25:31.7663099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7663167Z     features = self.features(x)
2025-08-26T20:25:31.7663386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7663455Z     new_features = layer(features)
2025-08-26T20:25:31.7663673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7663801Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7663804Z 
2025-08-26T20:25:31.7663904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7664105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7664167Z     return mod(*inputs)
2025-08-26T20:25:31.7664385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7664455Z     features = self.features(x)
2025-08-26T20:25:31.7664665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7664741Z     new_features = layer(features)
2025-08-26T20:25:31.7664950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7665059Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7665280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7665373Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7665376Z 
2025-08-26T20:25:31.7665476Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7665670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7665741Z     return mod(*inputs)
2025-08-26T20:25:31.7665984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7666064Z     features = self.features(x)
2025-08-26T20:25:31.7666275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7666343Z     new_features = layer(features)
2025-08-26T20:25:31.7666563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7666661Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7666889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7667053Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7667056Z 
2025-08-26T20:25:31.7667162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7667354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7667418Z     return mod(*inputs)
2025-08-26T20:25:31.7667639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7667707Z     features = self.features(x)
2025-08-26T20:25:31.7667925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7667994Z     new_features = layer(features)
2025-08-26T20:25:31.7668223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7668375Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7668607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7668786Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7668792Z 
2025-08-26T20:25:31.7668897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7669106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7669172Z     return mod(*inputs)
2025-08-26T20:25:31.7669397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7669490Z     features = self.features(x)
2025-08-26T20:25:31.7669711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7669794Z     new_features = layer(features)
2025-08-26T20:25:31.7670025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7670161Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7670164Z 
2025-08-26T20:25:31.7670279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7670480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7670554Z     return mod(*inputs)
2025-08-26T20:25:31.7670788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7670859Z     features = self.features(x)
2025-08-26T20:25:31.7671100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7671171Z     new_features = layer(features)
2025-08-26T20:25:31.7671405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7671539Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7671543Z 
2025-08-26T20:25:31.7671655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7671890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7671958Z     return mod(*inputs)
2025-08-26T20:25:31.7672197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7672269Z     features = self.features(x)
2025-08-26T20:25:31.7672582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7672665Z     new_features = layer(features)
2025-08-26T20:25:31.7672890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7673007Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7673245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7673341Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7673345Z 
2025-08-26T20:25:31.7673452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7673655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7673740Z     return mod(*inputs)
2025-08-26T20:25:31.7673953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7674030Z     features = self.features(x)
2025-08-26T20:25:31.7674240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7674309Z     new_features = layer(features)
2025-08-26T20:25:31.7674568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7674668Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7674897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7675060Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7675064Z 
2025-08-26T20:25:31.7675172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7675362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7675426Z     return mod(*inputs)
2025-08-26T20:25:31.7675645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7675711Z     features = self.features(x)
2025-08-26T20:25:31.7675930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7675996Z     new_features = layer(features)
2025-08-26T20:25:31.7676203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7676311Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7676529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7676696Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7676699Z 
2025-08-26T20:25:31.7676803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7677010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7677076Z     return mod(*inputs)
2025-08-26T20:25:31.7677299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7677384Z     features = self.features(x)
2025-08-26T20:25:31.7677605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7677681Z     new_features = layer(features)
2025-08-26T20:25:31.7677938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7678078Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7678082Z 
2025-08-26T20:25:31.7678194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7678396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7678468Z     return mod(*inputs)
2025-08-26T20:25:31.7678692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7678782Z     features = self.features(x)
2025-08-26T20:25:31.7678992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7679060Z     new_features = layer(features)
2025-08-26T20:25:31.7679281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7679418Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7679421Z 
2025-08-26T20:25:31.7679533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7679732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7679798Z     return mod(*inputs)
2025-08-26T20:25:31.7680031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7680105Z     features = self.features(x)
2025-08-26T20:25:31.7680386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7680458Z     new_features = layer(features)
2025-08-26T20:25:31.7680680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7680797Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7681031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7681131Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7681135Z 
2025-08-26T20:25:31.7681239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7681447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7681514Z     return mod(*inputs)
2025-08-26T20:25:31.7681738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7681821Z     features = self.features(x)
2025-08-26T20:25:31.7701915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7702152Z     new_features = layer(features)
2025-08-26T20:25:31.7702476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7702606Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7702868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7703061Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7703067Z 
2025-08-26T20:25:31.7703192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7703421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7703530Z     return mod(*inputs)
2025-08-26T20:25:31.7703782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7703865Z     features = self.features(x)
2025-08-26T20:25:31.7704219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7704308Z     new_features = layer(features)
2025-08-26T20:25:31.7704525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7704632Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7704867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7705036Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7705041Z 
2025-08-26T20:25:31.7705164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7705370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7705439Z     return mod(*inputs)
2025-08-26T20:25:31.7705670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7705745Z     features = self.features(x)
2025-08-26T20:25:31.7705969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7706041Z     new_features = layer(features)
2025-08-26T20:25:31.7706255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7706409Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7706413Z 
2025-08-26T20:25:31.7706521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7706785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7706849Z     return mod(*inputs)
2025-08-26T20:25:31.7707074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7707145Z     features = self.features(x)
2025-08-26T20:25:31.7707365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7707450Z     new_features = layer(features)
2025-08-26T20:25:31.7707674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7707823Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7707827Z 
2025-08-26T20:25:31.7707938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7708148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7708231Z     return mod(*inputs)
2025-08-26T20:25:31.7708456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7708541Z     features = self.features(x)
2025-08-26T20:25:31.7708771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7708855Z     new_features = layer(features)
2025-08-26T20:25:31.7709078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7709188Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7709434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7709527Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7709531Z 
2025-08-26T20:25:31.7709646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7709858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7709927Z     return mod(*inputs)
2025-08-26T20:25:31.7710161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7710270Z     features = self.features(x)
2025-08-26T20:25:31.7710502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7710575Z     new_features = layer(features)
2025-08-26T20:25:31.7710796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7710911Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7711149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7711329Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7711336Z 
2025-08-26T20:25:31.7711443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7711653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7711721Z     return mod(*inputs)
2025-08-26T20:25:31.7711949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7712032Z     features = self.features(x)
2025-08-26T20:25:31.7712253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7712337Z     new_features = layer(features)
2025-08-26T20:25:31.7712677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7712793Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7713083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7713259Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7713264Z 
2025-08-26T20:25:31.7713381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7713592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7713683Z     return mod(*inputs)
2025-08-26T20:25:31.7713911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7713985Z     features = self.features(x)
2025-08-26T20:25:31.7714215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7714289Z     new_features = layer(features)
2025-08-26T20:25:31.7714792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7714944Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7714948Z 
2025-08-26T20:25:31.7715053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7715268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7715335Z     return mod(*inputs)
2025-08-26T20:25:31.7715569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7715644Z     features = self.features(x)
2025-08-26T20:25:31.7715869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7715955Z     new_features = layer(features)
2025-08-26T20:25:31.7716177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7716330Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7716334Z 
2025-08-26T20:25:31.7716442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7716655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7716724Z     return mod(*inputs)
2025-08-26T20:25:31.7717061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7717150Z     features = self.features(x)
2025-08-26T20:25:31.7717381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7717470Z     new_features = layer(features)
2025-08-26T20:25:31.7717698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7717808Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7718060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7718158Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7718161Z 
2025-08-26T20:25:31.7718280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7718492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7718564Z     return mod(*inputs)
2025-08-26T20:25:31.7718802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7718878Z     features = self.features(x)
2025-08-26T20:25:31.7719115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7719192Z     new_features = layer(features)
2025-08-26T20:25:31.7719427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7719591Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7719826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7720009Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7720017Z 
2025-08-26T20:25:31.7720123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7720339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7720407Z     return mod(*inputs)
2025-08-26T20:25:31.7720631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7720713Z     features = self.features(x)
2025-08-26T20:25:31.7720937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7721026Z     new_features = layer(features)
2025-08-26T20:25:31.7721250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7721359Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7721608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7721781Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7721786Z 
2025-08-26T20:25:31.7721903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7722110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7722187Z     return mod(*inputs)
2025-08-26T20:25:31.7722417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7722491Z     features = self.features(x)
2025-08-26T20:25:31.7722728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7722802Z     new_features = layer(features)
2025-08-26T20:25:31.7723038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7723209Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7723214Z 
2025-08-26T20:25:31.7723319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7723527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7723606Z     return mod(*inputs)
2025-08-26T20:25:31.7723827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7723896Z     features = self.features(x)
2025-08-26T20:25:31.7724117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7724188Z     new_features = layer(features)
2025-08-26T20:25:31.7724400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7724536Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7724543Z 
2025-08-26T20:25:31.7724643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7724838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7724903Z     return mod(*inputs)
2025-08-26T20:25:31.7725118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7725196Z     features = self.features(x)
2025-08-26T20:25:31.7725411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7725523Z     new_features = layer(features)
2025-08-26T20:25:31.7725735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7725835Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7726130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7726217Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7726221Z 
2025-08-26T20:25:31.7726326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7726521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7726594Z     return mod(*inputs)
2025-08-26T20:25:31.7726812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7726880Z     features = self.features(x)
2025-08-26T20:25:31.7727104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7727177Z     new_features = layer(features)
2025-08-26T20:25:31.7727401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7727506Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7727730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7727903Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7727907Z 
2025-08-26T20:25:31.7728005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7728207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7728270Z     return mod(*inputs)
2025-08-26T20:25:31.7728486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7728566Z     features = self.features(x)
2025-08-26T20:25:31.7728781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7728860Z     new_features = layer(features)
2025-08-26T20:25:31.7729114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7729223Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7729443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7729605Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7729608Z 
2025-08-26T20:25:31.7729714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7729905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7729980Z     return mod(*inputs)
2025-08-26T20:25:31.7730196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7730266Z     features = self.features(x)
2025-08-26T20:25:31.7730492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7730562Z     new_features = layer(features)
2025-08-26T20:25:31.7730784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7730912Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7730915Z 
2025-08-26T20:25:31.7731022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7731215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7731279Z     return mod(*inputs)
2025-08-26T20:25:31.7731533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7731601Z     features = self.features(x)
2025-08-26T20:25:31.7731820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7731892Z     new_features = layer(features)
2025-08-26T20:25:31.7732101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7732237Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7732241Z 
2025-08-26T20:25:31.7732342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7732545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7732609Z     return mod(*inputs)
2025-08-26T20:25:31.7732819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7732899Z     features = self.features(x)
2025-08-26T20:25:31.7733112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7733190Z     new_features = layer(features)
2025-08-26T20:25:31.7733405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7733515Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7733738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7733825Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7733829Z 
2025-08-26T20:25:31.7733938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7734131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7734208Z     return mod(*inputs)
2025-08-26T20:25:31.7734421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7734491Z     features = self.features(x)
2025-08-26T20:25:31.7734746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7734818Z     new_features = layer(features)
2025-08-26T20:25:31.7735036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7735137Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7735363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7735535Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7735539Z 
2025-08-26T20:25:31.7735639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7735845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7735911Z     return mod(*inputs)
2025-08-26T20:25:31.7736138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7736210Z     features = self.features(x)
2025-08-26T20:25:31.7736421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7736501Z     new_features = layer(features)
2025-08-26T20:25:31.7736716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7736826Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7737046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7737251Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7737262Z 
2025-08-26T20:25:31.7737360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7737552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7737625Z     return mod(*inputs)
2025-08-26T20:25:31.7737840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7737916Z     features = self.features(x)
2025-08-26T20:25:31.7738128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7738196Z     new_features = layer(features)
2025-08-26T20:25:31.7738413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7738541Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7738547Z 
2025-08-26T20:25:31.7738653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7738844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7738909Z     return mod(*inputs)
2025-08-26T20:25:31.7739131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7739201Z     features = self.features(x)
2025-08-26T20:25:31.7739420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7739487Z     new_features = layer(features)
2025-08-26T20:25:31.7739695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7739831Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7739835Z 
2025-08-26T20:25:31.7739936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7740137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7740201Z     return mod(*inputs)
2025-08-26T20:25:31.7740427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7740561Z     features = self.features(x)
2025-08-26T20:25:31.7740790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7740871Z     new_features = layer(features)
2025-08-26T20:25:31.7741092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7741205Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7741440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7741539Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7741542Z 
2025-08-26T20:25:31.7741650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7741842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7741914Z     return mod(*inputs)
2025-08-26T20:25:31.7742131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7742200Z     features = self.features(x)
2025-08-26T20:25:31.7742424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7742495Z     new_features = layer(features)
2025-08-26T20:25:31.7742712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7742812Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7743040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7743242Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7743245Z 
2025-08-26T20:25:31.7743344Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7743549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7743612Z     return mod(*inputs)
2025-08-26T20:25:31.7743832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7743900Z     features = self.features(x)
2025-08-26T20:25:31.7744112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7744193Z     new_features = layer(features)
2025-08-26T20:25:31.7744403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7744513Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7744734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7744910Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7744913Z 
2025-08-26T20:25:31.7745014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7745207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7745281Z     return mod(*inputs)
2025-08-26T20:25:31.7745502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7745574Z     features = self.features(x)
2025-08-26T20:25:31.7745778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7745849Z     new_features = layer(features)
2025-08-26T20:25:31.7746061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7746186Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7746189Z 
2025-08-26T20:25:31.7746328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7746516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7746581Z     return mod(*inputs)
2025-08-26T20:25:31.7746801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7746870Z     features = self.features(x)
2025-08-26T20:25:31.7747093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7747162Z     new_features = layer(features)
2025-08-26T20:25:31.7747389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7747520Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7747524Z 
2025-08-26T20:25:31.7747623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7747835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7747904Z     return mod(*inputs)
2025-08-26T20:25:31.7748136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7748208Z     features = self.features(x)
2025-08-26T20:25:31.7748433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7748516Z     new_features = layer(features)
2025-08-26T20:25:31.7748739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7748888Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7749122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7749213Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7749225Z 
2025-08-26T20:25:31.7749331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7749536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7749613Z     return mod(*inputs)
2025-08-26T20:25:31.7749834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7749915Z     features = self.features(x)
2025-08-26T20:25:31.7750137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7750214Z     new_features = layer(features)
2025-08-26T20:25:31.7750447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7750551Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7750797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7750968Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7750972Z 
2025-08-26T20:25:31.7751078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7751289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7751358Z     return mod(*inputs)
2025-08-26T20:25:31.7751590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7751663Z     features = self.features(x)
2025-08-26T20:25:31.7751888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7751971Z     new_features = layer(features)
2025-08-26T20:25:31.7752192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7752336Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7752690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7752873Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7752877Z 
2025-08-26T20:25:31.7752982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7753184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7753261Z     return mod(*inputs)
2025-08-26T20:25:31.7753490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7753579Z     features = self.features(x)
2025-08-26T20:25:31.7753806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7753882Z     new_features = layer(features)
2025-08-26T20:25:31.7754128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7754269Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7754273Z 
2025-08-26T20:25:31.7754392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7754602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7754680Z     return mod(*inputs)
2025-08-26T20:25:31.7754909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7755014Z     features = self.features(x)
2025-08-26T20:25:31.7755229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7755296Z     new_features = layer(features)
2025-08-26T20:25:31.7755510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7755637Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7755641Z 
2025-08-26T20:25:31.7755736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7755933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7755996Z     return mod(*inputs)
2025-08-26T20:25:31.7756208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7756274Z     features = self.features(x)
2025-08-26T20:25:31.7756485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7756563Z     new_features = layer(features)
2025-08-26T20:25:31.7756772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7756880Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7757104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7757202Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7757206Z 
2025-08-26T20:25:31.7757310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7757515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7757592Z     return mod(*inputs)
2025-08-26T20:25:31.7757816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7757900Z     features = self.features(x)
2025-08-26T20:25:31.7758123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7758197Z     new_features = layer(features)
2025-08-26T20:25:31.7758460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7758571Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7758815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7758998Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7759002Z 
2025-08-26T20:25:31.7759115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7759314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7759382Z     return mod(*inputs)
2025-08-26T20:25:31.7759595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7759674Z     features = self.features(x)
2025-08-26T20:25:31.7759889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7759969Z     new_features = layer(features)
2025-08-26T20:25:31.7760179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7760286Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7760507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7760669Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7760673Z 
2025-08-26T20:25:31.7760820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7761015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7761091Z     return mod(*inputs)
2025-08-26T20:25:31.7761315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7761388Z     features = self.features(x)
2025-08-26T20:25:31.7761619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7761693Z     new_features = layer(features)
2025-08-26T20:25:31.7761920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7762056Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7762059Z 
2025-08-26T20:25:31.7762170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7762374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7762440Z     return mod(*inputs)
2025-08-26T20:25:31.7762669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7762739Z     features = self.features(x)
2025-08-26T20:25:31.7762970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7763042Z     new_features = layer(features)
2025-08-26T20:25:31.7763261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7763402Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7763407Z 
2025-08-26T20:25:31.7763509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7763717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7763786Z     return mod(*inputs)
2025-08-26T20:25:31.7764007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7764086Z     features = self.features(x)
2025-08-26T20:25:31.7764365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7764443Z     new_features = layer(features)
2025-08-26T20:25:31.7764656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7764763Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7764991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7765075Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7765078Z 
2025-08-26T20:25:31.7765184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7765377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7765448Z     return mod(*inputs)
2025-08-26T20:25:31.7765661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7765732Z     features = self.features(x)
2025-08-26T20:25:31.7765955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7766026Z     new_features = layer(features)
2025-08-26T20:25:31.7766250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7766349Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7766611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7766815Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7766819Z 
2025-08-26T20:25:31.7766917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7767117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7767181Z     return mod(*inputs)
2025-08-26T20:25:31.7767406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7767477Z     features = self.features(x)
2025-08-26T20:25:31.7767690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7767768Z     new_features = layer(features)
2025-08-26T20:25:31.7768002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7768113Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7768350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7768520Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7768531Z 
2025-08-26T20:25:31.7768636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7768842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7768917Z     return mod(*inputs)
2025-08-26T20:25:31.7769148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7769224Z     features = self.features(x)
2025-08-26T20:25:31.7769440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7769508Z     new_features = layer(features)
2025-08-26T20:25:31.7769724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7769856Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7769859Z 
2025-08-26T20:25:31.7769964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7770188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7770251Z     return mod(*inputs)
2025-08-26T20:25:31.7770475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7770542Z     features = self.features(x)
2025-08-26T20:25:31.7770762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7770830Z     new_features = layer(features)
2025-08-26T20:25:31.7771042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7771180Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7771184Z 
2025-08-26T20:25:31.7771281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7771479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7771543Z     return mod(*inputs)
2025-08-26T20:25:31.7771769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7771836Z     features = self.features(x)
2025-08-26T20:25:31.7772050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7772126Z     new_features = layer(features)
2025-08-26T20:25:31.7772343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7772449Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7772700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7772783Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7772786Z 
2025-08-26T20:25:31.7772891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7773084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7773155Z     return mod(*inputs)
2025-08-26T20:25:31.7773366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7773433Z     features = self.features(x)
2025-08-26T20:25:31.7773653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7773722Z     new_features = layer(features)
2025-08-26T20:25:31.7773937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7774043Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7774286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7774455Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7774462Z 
2025-08-26T20:25:31.7774565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7774778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7774843Z     return mod(*inputs)
2025-08-26T20:25:31.7775079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7775150Z     features = self.features(x)
2025-08-26T20:25:31.7775375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7775456Z     new_features = layer(features)
2025-08-26T20:25:31.7775667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7775774Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7776023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7776192Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7776196Z 
2025-08-26T20:25:31.7776294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7776486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7776557Z     return mod(*inputs)
2025-08-26T20:25:31.7776771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7776847Z     features = self.features(x)
2025-08-26T20:25:31.7777063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7777132Z     new_features = layer(features)
2025-08-26T20:25:31.7777349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7777480Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7777483Z 
2025-08-26T20:25:31.7777586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7777785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7777850Z     return mod(*inputs)
2025-08-26T20:25:31.7778079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7778151Z     features = self.features(x)
2025-08-26T20:25:31.7778389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7778488Z     new_features = layer(features)
2025-08-26T20:25:31.7778710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7778842Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7778846Z 
2025-08-26T20:25:31.7778948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7779161Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7779229Z     return mod(*inputs)
2025-08-26T20:25:31.7779464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7779535Z     features = self.features(x)
2025-08-26T20:25:31.7779760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7779846Z     new_features = layer(features)
2025-08-26T20:25:31.7780076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7780190Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7780432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7780520Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7780532Z 
2025-08-26T20:25:31.7780636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7780838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7780912Z     return mod(*inputs)
2025-08-26T20:25:31.7781139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7781218Z     features = self.features(x)
2025-08-26T20:25:31.7781447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7781518Z     new_features = layer(features)
2025-08-26T20:25:31.7781750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7781898Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7782142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7782312Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7782316Z 
2025-08-26T20:25:31.7782419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7782629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7782694Z     return mod(*inputs)
2025-08-26T20:25:31.7782925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7782998Z     features = self.features(x)
2025-08-26T20:25:31.7783226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7783296Z     new_features = layer(features)
2025-08-26T20:25:31.7783521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7783632Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7783865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7784041Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7784044Z 
2025-08-26T20:25:31.7784146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7784347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7784454Z     return mod(*inputs)
2025-08-26T20:25:31.7784677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7784756Z     features = self.features(x)
2025-08-26T20:25:31.7784981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7785054Z     new_features = layer(features)
2025-08-26T20:25:31.7785283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7785418Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7785422Z 
2025-08-26T20:25:31.7785532Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7785733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7785811Z     return mod(*inputs)
2025-08-26T20:25:31.7786034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7786104Z     features = self.features(x)
2025-08-26T20:25:31.7786334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7786409Z     new_features = layer(features)
2025-08-26T20:25:31.7786640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7786775Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7786779Z 
2025-08-26T20:25:31.7786882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7787094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7787159Z     return mod(*inputs)
2025-08-26T20:25:31.7787387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7787460Z     features = self.features(x)
2025-08-26T20:25:31.7787679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7787760Z     new_features = layer(features)
2025-08-26T20:25:31.7788009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7788125Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7788358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7788453Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7788457Z 
2025-08-26T20:25:31.7788560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7788761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7788840Z     return mod(*inputs)
2025-08-26T20:25:31.7789062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7789142Z     features = self.features(x)
2025-08-26T20:25:31.7789367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7789439Z     new_features = layer(features)
2025-08-26T20:25:31.7789669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7789774Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7790014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7790184Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7790187Z 
2025-08-26T20:25:31.7790332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7790535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7790602Z     return mod(*inputs)
2025-08-26T20:25:31.7790833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7790907Z     features = self.features(x)
2025-08-26T20:25:31.7791138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7791210Z     new_features = layer(features)
2025-08-26T20:25:31.7791431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7791542Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7791775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7791956Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7791960Z 
2025-08-26T20:25:31.7792062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7792270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7792340Z     return mod(*inputs)
2025-08-26T20:25:31.7792961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7793052Z     features = self.features(x)
2025-08-26T20:25:31.7793282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7793367Z     new_features = layer(features)
2025-08-26T20:25:31.7793599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7793740Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7793749Z 
2025-08-26T20:25:31.7793865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7794074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7794160Z     return mod(*inputs)
2025-08-26T20:25:31.7794425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7794499Z     features = self.features(x)
2025-08-26T20:25:31.7794730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7794804Z     new_features = layer(features)
2025-08-26T20:25:31.7795036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7795172Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7795176Z 
2025-08-26T20:25:31.7795275Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7795359Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7795440Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7795525Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7795602Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7795683Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7795795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7795998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7796072Z     return mod(*inputs)
2025-08-26T20:25:31.7796298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7796379Z     features = self.features(x)
2025-08-26T20:25:31.7796591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-26T20:25:31.7796695Z     return torch.cat(features, 1)
2025-08-26T20:25:31.7796699Z 
2025-08-26T20:25:31.7796805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7796989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7797057Z     return mod(*inputs)
2025-08-26T20:25:31.7797273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7797339Z     features = self.features(x)
2025-08-26T20:25:31.7797342Z 
2025-08-26T20:25:31.7797451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7797636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7797705Z     return mod(*inputs)
2025-08-26T20:25:31.7797916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7797982Z     features = self.features(x)
2025-08-26T20:25:31.7797989Z 
2025-08-26T20:25:31.7798095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7798284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7798354Z     return mod(*inputs)
2025-08-26T20:25:31.7798569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7798636Z     features = self.features(x)
2025-08-26T20:25:31.7798855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7798928Z     new_features = layer(features)
2025-08-26T20:25:31.7799157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7799263Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7799504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7799682Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7799685Z 
2025-08-26T20:25:31.7799782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7800018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7800084Z     return mod(*inputs)
2025-08-26T20:25:31.7800310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7800379Z     features = self.features(x)
2025-08-26T20:25:31.7800585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7800662Z     new_features = layer(features)
2025-08-26T20:25:31.7800871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7801012Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7801015Z 
2025-08-26T20:25:31.7801113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7801316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7801386Z     return mod(*inputs)
2025-08-26T20:25:31.7801598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7801666Z     features = self.features(x)
2025-08-26T20:25:31.7801881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7801949Z     new_features = layer(features)
2025-08-26T20:25:31.7802168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7802295Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7802330Z 
2025-08-26T20:25:31.7802437Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7802625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7802686Z     return mod(*inputs)
2025-08-26T20:25:31.7802907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7802976Z     features = self.features(x)
2025-08-26T20:25:31.7803194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7803263Z     new_features = layer(features)
2025-08-26T20:25:31.7803478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7803583Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7803799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7803893Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7803897Z 
2025-08-26T20:25:31.7803990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7804172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7804244Z     return mod(*inputs)
2025-08-26T20:25:31.7804450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7804523Z     features = self.features(x)
2025-08-26T20:25:31.7804726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7804793Z     new_features = layer(features)
2025-08-26T20:25:31.7805006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7805103Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7805328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7805484Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7805487Z 
2025-08-26T20:25:31.7805629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7805814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7805875Z     return mod(*inputs)
2025-08-26T20:25:31.7806084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7806151Z     features = self.features(x)
2025-08-26T20:25:31.7806360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7806427Z     new_features = layer(features)
2025-08-26T20:25:31.7806632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7806735Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7806947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7807112Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7807116Z 
2025-08-26T20:25:31.7807210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7807404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7807466Z     return mod(*inputs)
2025-08-26T20:25:31.7807673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7807745Z     features = self.features(x)
2025-08-26T20:25:31.7807948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7808057Z     new_features = layer(features)
2025-08-26T20:25:31.7808270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7808394Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7808400Z 
2025-08-26T20:25:31.7808508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7808698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7808768Z     return mod(*inputs)
2025-08-26T20:25:31.7808980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7809054Z     features = self.features(x)
2025-08-26T20:25:31.7809266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7809336Z     new_features = layer(features)
2025-08-26T20:25:31.7809556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7809687Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7809690Z 
2025-08-26T20:25:31.7809795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7809998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7810062Z     return mod(*inputs)
2025-08-26T20:25:31.7810282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7810349Z     features = self.features(x)
2025-08-26T20:25:31.7810568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7810636Z     new_features = layer(features)
2025-08-26T20:25:31.7810847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7810953Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7811174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7811297Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7811301Z 
2025-08-26T20:25:31.7811399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7811593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7811655Z     return mod(*inputs)
2025-08-26T20:25:31.7811860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7811936Z     features = self.features(x)
2025-08-26T20:25:31.7812148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7812227Z     new_features = layer(features)
2025-08-26T20:25:31.7812438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7812538Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7812772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7812934Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7812938Z 
2025-08-26T20:25:31.7813044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7813239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7813301Z     return mod(*inputs)
2025-08-26T20:25:31.7813523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7813624Z     features = self.features(x)
2025-08-26T20:25:31.7813842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7813910Z     new_features = layer(features)
2025-08-26T20:25:31.7814130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7814229Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7814657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7814838Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7814842Z 
2025-08-26T20:25:31.7814953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7815149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7815216Z     return mod(*inputs)
2025-08-26T20:25:31.7815425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7815499Z     features = self.features(x)
2025-08-26T20:25:31.7815704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7815784Z     new_features = layer(features)
2025-08-26T20:25:31.7815986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7816113Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7816124Z 
2025-08-26T20:25:31.7816221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7816408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7816480Z     return mod(*inputs)
2025-08-26T20:25:31.7816689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7816768Z     features = self.features(x)
2025-08-26T20:25:31.7816979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7817048Z     new_features = layer(features)
2025-08-26T20:25:31.7817342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7817473Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7817477Z 
2025-08-26T20:25:31.7817583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7817777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7817841Z     return mod(*inputs)
2025-08-26T20:25:31.7818062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7818134Z     features = self.features(x)
2025-08-26T20:25:31.7818353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7818421Z     new_features = layer(features)
2025-08-26T20:25:31.7818649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7818757Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7818991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7819089Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7819092Z 
2025-08-26T20:25:31.7819204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7819401Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7819463Z     return mod(*inputs)
2025-08-26T20:25:31.7819733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7819810Z     features = self.features(x)
2025-08-26T20:25:31.7820017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7820097Z     new_features = layer(features)
2025-08-26T20:25:31.7820304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7820403Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7820631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7820791Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7820795Z 
2025-08-26T20:25:31.7820901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7821095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7821163Z     return mod(*inputs)
2025-08-26T20:25:31.7821373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7821440Z     features = self.features(x)
2025-08-26T20:25:31.7821658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7821726Z     new_features = layer(features)
2025-08-26T20:25:31.7821943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7822040Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7822259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7822427Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7822433Z 
2025-08-26T20:25:31.7822530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7822725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7822788Z     return mod(*inputs)
2025-08-26T20:25:31.7823045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7823119Z     features = self.features(x)
2025-08-26T20:25:31.7823343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7823425Z     new_features = layer(features)
2025-08-26T20:25:31.7823650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7823796Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7823800Z 
2025-08-26T20:25:31.7823908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7824112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7824188Z     return mod(*inputs)
2025-08-26T20:25:31.7824411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7824496Z     features = self.features(x)
2025-08-26T20:25:31.7824720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7824792Z     new_features = layer(features)
2025-08-26T20:25:31.7825019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7825149Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7825152Z 
2025-08-26T20:25:31.7825258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7825490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7825561Z     return mod(*inputs)
2025-08-26T20:25:31.7825772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7825839Z     features = self.features(x)
2025-08-26T20:25:31.7826060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7826129Z     new_features = layer(features)
2025-08-26T20:25:31.7826344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7826442Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7826663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7826754Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7826761Z 
2025-08-26T20:25:31.7826856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7827056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7827118Z     return mod(*inputs)
2025-08-26T20:25:31.7827330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7827407Z     features = self.features(x)
2025-08-26T20:25:31.7827617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7827692Z     new_features = layer(features)
2025-08-26T20:25:31.7827902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7828007Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7828224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7828386Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7828389Z 
2025-08-26T20:25:31.7828496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7828714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7828786Z     return mod(*inputs)
2025-08-26T20:25:31.7828997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7829065Z     features = self.features(x)
2025-08-26T20:25:31.7829291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7829364Z     new_features = layer(features)
2025-08-26T20:25:31.7829594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7829700Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7829934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7830112Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7830115Z 
2025-08-26T20:25:31.7830223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7830432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7830498Z     return mod(*inputs)
2025-08-26T20:25:31.7830727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7830799Z     features = self.features(x)
2025-08-26T20:25:31.7831021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7831102Z     new_features = layer(features)
2025-08-26T20:25:31.7831361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7831505Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7831508Z 
2025-08-26T20:25:31.7831610Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7831818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7831892Z     return mod(*inputs)
2025-08-26T20:25:31.7832115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7832193Z     features = self.features(x)
2025-08-26T20:25:31.7832417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7832575Z     new_features = layer(features)
2025-08-26T20:25:31.7832812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7832954Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7832957Z 
2025-08-26T20:25:31.7833071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7833273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7833349Z     return mod(*inputs)
2025-08-26T20:25:31.7833570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7833642Z     features = self.features(x)
2025-08-26T20:25:31.7833874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7833945Z     new_features = layer(features)
2025-08-26T20:25:31.7834176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7834285Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7834522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7834619Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7834622Z 
2025-08-26T20:25:31.7834766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7834977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7835044Z     return mod(*inputs)
2025-08-26T20:25:31.7835276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7835349Z     features = self.features(x)
2025-08-26T20:25:31.7835575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7835655Z     new_features = layer(features)
2025-08-26T20:25:31.7835878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7835992Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7836228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7836402Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7836406Z 
2025-08-26T20:25:31.7836515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7836713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7836787Z     return mod(*inputs)
2025-08-26T20:25:31.7837010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7837080Z     features = self.features(x)
2025-08-26T20:25:31.7837311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7837422Z     new_features = layer(features)
2025-08-26T20:25:31.7837653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7837756Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7837999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7838171Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7838174Z 
2025-08-26T20:25:31.7838277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7838487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7838553Z     return mod(*inputs)
2025-08-26T20:25:31.7838783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7838858Z     features = self.features(x)
2025-08-26T20:25:31.7839083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7839163Z     new_features = layer(features)
2025-08-26T20:25:31.7839387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7839530Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7839533Z 
2025-08-26T20:25:31.7839636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7839844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7839908Z     return mod(*inputs)
2025-08-26T20:25:31.7840130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7840210Z     features = self.features(x)
2025-08-26T20:25:31.7840436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7840516Z     new_features = layer(features)
2025-08-26T20:25:31.7840734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7840899Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7840903Z 
2025-08-26T20:25:31.7841017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7841215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7841288Z     return mod(*inputs)
2025-08-26T20:25:31.7841509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7841581Z     features = self.features(x)
2025-08-26T20:25:31.7841810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7841886Z     new_features = layer(features)
2025-08-26T20:25:31.7842113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7842217Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7842459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7842546Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7842549Z 
2025-08-26T20:25:31.7842651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7842858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7842923Z     return mod(*inputs)
2025-08-26T20:25:31.7843153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7843259Z     features = self.features(x)
2025-08-26T20:25:31.7843482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7843562Z     new_features = layer(features)
2025-08-26T20:25:31.7843786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7843898Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7844131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7844302Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7844315Z 
2025-08-26T20:25:31.7844418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7844621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7844695Z     return mod(*inputs)
2025-08-26T20:25:31.7844920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7844998Z     features = self.features(x)
2025-08-26T20:25:31.7845218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7845292Z     new_features = layer(features)
2025-08-26T20:25:31.7845525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7845630Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7845873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7846049Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7846052Z 
2025-08-26T20:25:31.7846152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7846355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7846417Z     return mod(*inputs)
2025-08-26T20:25:31.7846639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7846707Z     features = self.features(x)
2025-08-26T20:25:31.7846955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7847024Z     new_features = layer(features)
2025-08-26T20:25:31.7847235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7847372Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7847375Z 
2025-08-26T20:25:31.7847472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7847670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7847736Z     return mod(*inputs)
2025-08-26T20:25:31.7847946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7848021Z     features = self.features(x)
2025-08-26T20:25:31.7848234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7848309Z     new_features = layer(features)
2025-08-26T20:25:31.7848517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7848645Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7848655Z 
2025-08-26T20:25:31.7848755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7848948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7849062Z     return mod(*inputs)
2025-08-26T20:25:31.7849276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7849351Z     features = self.features(x)
2025-08-26T20:25:31.7849561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7849632Z     new_features = layer(features)
2025-08-26T20:25:31.7849851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7849952Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7850182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7850265Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7850268Z 
2025-08-26T20:25:31.7850366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7850567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7850633Z     return mod(*inputs)
2025-08-26T20:25:31.7850854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7850921Z     features = self.features(x)
2025-08-26T20:25:31.7851139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7851216Z     new_features = layer(features)
2025-08-26T20:25:31.7851445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7851558Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7851791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7851971Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7851977Z 
2025-08-26T20:25:31.7852080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7852283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7852359Z     return mod(*inputs)
2025-08-26T20:25:31.7852617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7852701Z     features = self.features(x)
2025-08-26T20:25:31.7852924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7853005Z     new_features = layer(features)
2025-08-26T20:25:31.7853223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7853320Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7853547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7853708Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7853712Z 
2025-08-26T20:25:31.7853817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7854009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7854072Z     return mod(*inputs)
2025-08-26T20:25:31.7854292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7854362Z     features = self.features(x)
2025-08-26T20:25:31.7854591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7854664Z     new_features = layer(features)
2025-08-26T20:25:31.7854885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7855062Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7855066Z 
2025-08-26T20:25:31.7855169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7855376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7855446Z     return mod(*inputs)
2025-08-26T20:25:31.7855674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7855762Z     features = self.features(x)
2025-08-26T20:25:31.7855997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7856074Z     new_features = layer(features)
2025-08-26T20:25:31.7856308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7856439Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7856446Z 
2025-08-26T20:25:31.7856553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7856748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7856817Z     return mod(*inputs)
2025-08-26T20:25:31.7857055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7857130Z     features = self.features(x)
2025-08-26T20:25:31.7857361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7857438Z     new_features = layer(features)
2025-08-26T20:25:31.7857665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7857779Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7858014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7858116Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7858120Z 
2025-08-26T20:25:31.7858224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7858429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7858575Z     return mod(*inputs)
2025-08-26T20:25:31.7858803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7858876Z     features = self.features(x)
2025-08-26T20:25:31.7859085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7859153Z     new_features = layer(features)
2025-08-26T20:25:31.7859371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7859470Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7859702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7859863Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7859867Z 
2025-08-26T20:25:31.7859977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7860167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7860230Z     return mod(*inputs)
2025-08-26T20:25:31.7860449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7860520Z     features = self.features(x)
2025-08-26T20:25:31.7860751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7860823Z     new_features = layer(features)
2025-08-26T20:25:31.7861081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7861193Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7861426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7861604Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7861608Z 
2025-08-26T20:25:31.7861712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7861920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7861986Z     return mod(*inputs)
2025-08-26T20:25:31.7862208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7862288Z     features = self.features(x)
2025-08-26T20:25:31.7862519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7862596Z     new_features = layer(features)
2025-08-26T20:25:31.7862804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7862936Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7862940Z 
2025-08-26T20:25:31.7863044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7863236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7863307Z     return mod(*inputs)
2025-08-26T20:25:31.7863518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7863587Z     features = self.features(x)
2025-08-26T20:25:31.7863814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7863889Z     new_features = layer(features)
2025-08-26T20:25:31.7864118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7864251Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7864255Z 
2025-08-26T20:25:31.7864396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7864599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7864664Z     return mod(*inputs)
2025-08-26T20:25:31.7864894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7864966Z     features = self.features(x)
2025-08-26T20:25:31.7865196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7865268Z     new_features = layer(features)
2025-08-26T20:25:31.7865495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7865607Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7865839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7865937Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7865941Z 
2025-08-26T20:25:31.7866045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7866255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7866322Z     return mod(*inputs)
2025-08-26T20:25:31.7866543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7866621Z     features = self.features(x)
2025-08-26T20:25:31.7866845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7866959Z     new_features = layer(features)
2025-08-26T20:25:31.7867183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7867288Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7867538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7867708Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7867712Z 
2025-08-26T20:25:31.7867824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7868027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7868093Z     return mod(*inputs)
2025-08-26T20:25:31.7868330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7868405Z     features = self.features(x)
2025-08-26T20:25:31.7868636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7868707Z     new_features = layer(features)
2025-08-26T20:25:31.7868943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7869048Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7869285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7869463Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7869467Z 
2025-08-26T20:25:31.7869569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7869781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7869851Z     return mod(*inputs)
2025-08-26T20:25:31.7870079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7870159Z     features = self.features(x)
2025-08-26T20:25:31.7870427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7870511Z     new_features = layer(features)
2025-08-26T20:25:31.7870732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7870865Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7870876Z 
2025-08-26T20:25:31.7870980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7871182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7871256Z     return mod(*inputs)
2025-08-26T20:25:31.7871492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7871576Z     features = self.features(x)
2025-08-26T20:25:31.7871809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7871881Z     new_features = layer(features)
2025-08-26T20:25:31.7872113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7872250Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7872254Z 
2025-08-26T20:25:31.7872370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7872700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7872774Z     return mod(*inputs)
2025-08-26T20:25:31.7873027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7873144Z     features = self.features(x)
2025-08-26T20:25:31.7873390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7873464Z     new_features = layer(features)
2025-08-26T20:25:31.7873725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7873834Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7874071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7874171Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7874175Z 
2025-08-26T20:25:31.7874278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7874504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7874571Z     return mod(*inputs)
2025-08-26T20:25:31.7874804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7874883Z     features = self.features(x)
2025-08-26T20:25:31.7875109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7875194Z     new_features = layer(features)
2025-08-26T20:25:31.7875421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7875525Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7875770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7875940Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7875944Z 
2025-08-26T20:25:31.7876057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7876261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7876335Z     return mod(*inputs)
2025-08-26T20:25:31.7876570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7876640Z     features = self.features(x)
2025-08-26T20:25:31.7876908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7876983Z     new_features = layer(features)
2025-08-26T20:25:31.7877227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7877330Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7877565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7877742Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7877749Z 
2025-08-26T20:25:31.7877853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7878063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7878128Z     return mod(*inputs)
2025-08-26T20:25:31.7878372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7878443Z     features = self.features(x)
2025-08-26T20:25:31.7878679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7878758Z     new_features = layer(features)
2025-08-26T20:25:31.7878983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7879124Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7879161Z 
2025-08-26T20:25:31.7879265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7879481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7879555Z     return mod(*inputs)
2025-08-26T20:25:31.7879792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7879878Z     features = self.features(x)
2025-08-26T20:25:31.7880090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7880161Z     new_features = layer(features)
2025-08-26T20:25:31.7880379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7880506Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7880510Z 
2025-08-26T20:25:31.7880615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7880806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7880875Z     return mod(*inputs)
2025-08-26T20:25:31.7881089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7881158Z     features = self.features(x)
2025-08-26T20:25:31.7881380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7881448Z     new_features = layer(features)
2025-08-26T20:25:31.7881666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7881764Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7881984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7882076Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7882083Z 
2025-08-26T20:25:31.7882181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7882376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7882439Z     return mod(*inputs)
2025-08-26T20:25:31.7882682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7882759Z     features = self.features(x)
2025-08-26T20:25:31.7882970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7883047Z     new_features = layer(features)
2025-08-26T20:25:31.7883259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7883365Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7883589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7883755Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7883758Z 
2025-08-26T20:25:31.7883865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7884057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7884128Z     return mod(*inputs)
2025-08-26T20:25:31.7884350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7884422Z     features = self.features(x)
2025-08-26T20:25:31.7884656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7884728Z     new_features = layer(features)
2025-08-26T20:25:31.7884961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7885106Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7885340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7885519Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7885522Z 
2025-08-26T20:25:31.7885629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7885841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7885907Z     return mod(*inputs)
2025-08-26T20:25:31.7886137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7886207Z     features = self.features(x)
2025-08-26T20:25:31.7886431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7886512Z     new_features = layer(features)
2025-08-26T20:25:31.7886740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7886892Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7886895Z 
2025-08-26T20:25:31.7886992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7887184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7887255Z     return mod(*inputs)
2025-08-26T20:25:31.7887468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7887544Z     features = self.features(x)
2025-08-26T20:25:31.7887753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7887828Z     new_features = layer(features)
2025-08-26T20:25:31.7888041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7888183Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7888186Z 
2025-08-26T20:25:31.7888296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7888532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7888607Z     return mod(*inputs)
2025-08-26T20:25:31.7888833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7888900Z     features = self.features(x)
2025-08-26T20:25:31.7889121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7889189Z     new_features = layer(features)
2025-08-26T20:25:31.7889408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7889512Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7889731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7889822Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7889825Z 
2025-08-26T20:25:31.7889922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7890119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7890181Z     return mod(*inputs)
2025-08-26T20:25:31.7890401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7890468Z     features = self.features(x)
2025-08-26T20:25:31.7890681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7890757Z     new_features = layer(features)
2025-08-26T20:25:31.7891006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7891112Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7891346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7891522Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7891526Z 
2025-08-26T20:25:31.7891636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7891836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7891908Z     return mod(*inputs)
2025-08-26T20:25:31.7892130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7892201Z     features = self.features(x)
2025-08-26T20:25:31.7892432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7892508Z     new_features = layer(features)
2025-08-26T20:25:31.7892738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7892842Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7893094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7893256Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7893259Z 
2025-08-26T20:25:31.7893356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7893553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7893615Z     return mod(*inputs)
2025-08-26T20:25:31.7893832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7893903Z     features = self.features(x)
2025-08-26T20:25:31.7894116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7894192Z     new_features = layer(features)
2025-08-26T20:25:31.7894456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7894602Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7894606Z 
2025-08-26T20:25:31.7894709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7894918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7894994Z     return mod(*inputs)
2025-08-26T20:25:31.7895206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7895286Z     features = self.features(x)
2025-08-26T20:25:31.7895497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7895574Z     new_features = layer(features)
2025-08-26T20:25:31.7895786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7895916Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7895920Z 
2025-08-26T20:25:31.7896025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7896216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7896286Z     return mod(*inputs)
2025-08-26T20:25:31.7896498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7896565Z     features = self.features(x)
2025-08-26T20:25:31.7896784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7896888Z     new_features = layer(features)
2025-08-26T20:25:31.7897111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7897211Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7897451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7897540Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7897544Z 
2025-08-26T20:25:31.7897648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7897862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7897928Z     return mod(*inputs)
2025-08-26T20:25:31.7898168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7898240Z     features = self.features(x)
2025-08-26T20:25:31.7898456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7898534Z     new_features = layer(features)
2025-08-26T20:25:31.7898751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7898857Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7899084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7899245Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7899255Z 
2025-08-26T20:25:31.7899351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7899545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7899617Z     return mod(*inputs)
2025-08-26T20:25:31.7899836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7899914Z     features = self.features(x)
2025-08-26T20:25:31.7900145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7900252Z     new_features = layer(features)
2025-08-26T20:25:31.7900483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7900587Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7900829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7900999Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7901002Z 
2025-08-26T20:25:31.7901106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7901317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7901382Z     return mod(*inputs)
2025-08-26T20:25:31.7901613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7901687Z     features = self.features(x)
2025-08-26T20:25:31.7901917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7901988Z     new_features = layer(features)
2025-08-26T20:25:31.7902211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7902355Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7902358Z 
2025-08-26T20:25:31.7902460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7902666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7902767Z     return mod(*inputs)
2025-08-26T20:25:31.7902997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7903076Z     features = self.features(x)
2025-08-26T20:25:31.7903307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7903387Z     new_features = layer(features)
2025-08-26T20:25:31.7903617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7903752Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7903762Z 
2025-08-26T20:25:31.7903865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7904072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7904150Z     return mod(*inputs)
2025-08-26T20:25:31.7904379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7904455Z     features = self.features(x)
2025-08-26T20:25:31.7904683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7904758Z     new_features = layer(features)
2025-08-26T20:25:31.7904996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7905101Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7905348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7905435Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7905439Z 
2025-08-26T20:25:31.7905542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7905758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7905822Z     return mod(*inputs)
2025-08-26T20:25:31.7906056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7906127Z     features = self.features(x)
2025-08-26T20:25:31.7906385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7906464Z     new_features = layer(features)
2025-08-26T20:25:31.7906685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7906798Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7907031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7907218Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7907225Z 
2025-08-26T20:25:31.7907324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7907512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7907583Z     return mod(*inputs)
2025-08-26T20:25:31.7907796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7907873Z     features = self.features(x)
2025-08-26T20:25:31.7908094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7908166Z     new_features = layer(features)
2025-08-26T20:25:31.7908394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7908499Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7908735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7908939Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7908943Z 
2025-08-26T20:25:31.7909053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7909255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7909323Z     return mod(*inputs)
2025-08-26T20:25:31.7909554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7909624Z     features = self.features(x)
2025-08-26T20:25:31.7909852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7909924Z     new_features = layer(features)
2025-08-26T20:25:31.7910145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7910290Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7910294Z 
2025-08-26T20:25:31.7910396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7910604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7910673Z     return mod(*inputs)
2025-08-26T20:25:31.7910896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7910976Z     features = self.features(x)
2025-08-26T20:25:31.7911196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7911276Z     new_features = layer(features)
2025-08-26T20:25:31.7911496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7911645Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7911651Z 
2025-08-26T20:25:31.7911753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7911952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7912027Z     return mod(*inputs)
2025-08-26T20:25:31.7912787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7912887Z     features = self.features(x)
2025-08-26T20:25:31.7913125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7913198Z     new_features = layer(features)
2025-08-26T20:25:31.7913432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7913541Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7913795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:25:31.7913889Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:25:31.7913893Z 
2025-08-26T20:25:31.7914011Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7914218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7914282Z     return mod(*inputs)
2025-08-26T20:25:31.7914708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7914782Z     features = self.features(x)
2025-08-26T20:25:31.7915001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7915069Z     new_features = layer(features)
2025-08-26T20:25:31.7915278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7915465Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7915690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7915861Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7915865Z 
2025-08-26T20:25:31.7915969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7916170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7916242Z     return mod(*inputs)
2025-08-26T20:25:31.7916451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7916529Z     features = self.features(x)
2025-08-26T20:25:31.7916738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7916807Z     new_features = layer(features)
2025-08-26T20:25:31.7917026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:25:31.7917126Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:25:31.7917393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:25:31.7917571Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:25:31.7917575Z 
2025-08-26T20:25:31.7917692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7917941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7918019Z     return mod(*inputs)
2025-08-26T20:25:31.7918246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7918318Z     features = self.features(x)
2025-08-26T20:25:31.7918545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7918617Z     new_features = layer(features)
2025-08-26T20:25:31.7918832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7919018Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7919023Z 
2025-08-26T20:25:31.7919121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7919328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7919388Z     return mod(*inputs)
2025-08-26T20:25:31.7919603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7919668Z     features = self.features(x)
2025-08-26T20:25:31.7919875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:25:31.7919954Z     new_features = layer(features)
2025-08-26T20:25:31.7920161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:25:31.7920293Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:25:31.7920296Z 
2025-08-26T20:25:31.7920378Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7920456Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7920536Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7920607Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7920687Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7920758Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7920828Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7920932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7921121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7921226Z     return mod(*inputs)
2025-08-26T20:25:31.7921441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:25:31.7921508Z     features = self.features(x)
2025-08-26T20:25:31.7921730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-26T20:25:31.7921804Z     return torch.cat(features, 1)
2025-08-26T20:25:31.7921807Z 
2025-08-26T20:25:31.7921889Z cudagraph partition due to non gpu ops
2025-08-26T20:25:31.7921987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7922180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7922249Z     return mod(*inputs)
2025-08-26T20:25:31.7922464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 215, in forward
2025-08-26T20:25:31.7922555Z     out = F.adaptive_avg_pool2d(out, (1, 1))
2025-08-26T20:25:31.7922562Z 
2025-08-26T20:25:31.7922658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:31.7922867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:25:31.7922926Z     return mod(*inputs)
2025-08-26T20:25:31.7923140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 217, in forward
2025-08-26T20:25:31.7923223Z     out = self.classifier(out)
2025-08-26T20:25:31.7923227Z 
2025-08-26T20:25:48.7417235Z Compilation time (from dynamo_timed): 52.72891802
2025-08-26T20:25:48.7417550Z pass
2025-08-26T20:25:48.7425222Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:25:48.7427018Z TIMING: _recursive_pre_grad_passes:0.01429 _recursive_joint_graph_passes:0.2581 _recursive_post_grad_passes:0.24602 async_compile.wait:0.57884 code_gen:16.21533 inductor_compile:23.34784 backend_compile:41.56728 gc:0.00089 entire_frame_compile:52.72892 total_wall_time:52.72892
2025-08-26T20:25:48.7428204Z STATS: call_* op count: 431 | FakeTensorMode.__torch_dispatch__:29142 | attempt fast:405 | fast is_contiguous:405 | FakeTensor.__torch_dispatch__:13786 | ProxyTorchDispatchMode.__torch_dispatch__:10672
2025-08-26T20:25:48.7429103Z Dynamo produced 1 graphs covering 431 ops with 0 graph breaks (0 unique)
2025-08-26T20:25:55.5310731Z 
2025-08-26T20:25:55.7468327Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:25:55.7468774Z   what():  std::bad_array_new_length
2025-08-26T20:28:07.7859595Z Run failed with return code:  -6
2025-08-26T20:28:07.7863204Z Output:  None
2025-08-26T20:28:07.7863413Z Error:  None
2025-08-26T20:28:10.3110600Z 
2025-08-26T20:28:10.5330053Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:28:10.5330484Z   what():  std::bad_array_new_length
2025-08-26T20:30:22.4562765Z Run failed with return code:  -6
2025-08-26T20:30:22.4563066Z Output:  None
2025-08-26T20:30:22.4563245Z Error:  None
2025-08-26T20:30:25.0053700Z 
2025-08-26T20:30:25.2204402Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:30:25.2206997Z   what():  std::bad_array_new_length
2025-08-26T20:32:38.2833540Z Run failed with return code:  -6
2025-08-26T20:32:38.2833887Z Output:  None
2025-08-26T20:32:38.2834093Z Error:  None
2025-08-26T20:32:40.8880858Z 
2025-08-26T20:32:41.1015107Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:32:41.1015536Z   what():  std::bad_array_new_length
2025-08-26T20:34:52.1107899Z Run failed with return code:  -6
2025-08-26T20:34:52.1110965Z Output:  None
2025-08-26T20:34:52.1111206Z Error:  None
2025-08-26T20:34:54.6617516Z 
2025-08-26T20:34:54.8724131Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:34:54.8730729Z   what():  std::bad_array_new_length
2025-08-26T20:37:04.8708667Z Run failed with return code:  -6
2025-08-26T20:37:04.8712834Z Output:  None
2025-08-26T20:37:04.8713089Z Error:  None
2025-08-26T20:37:07.4822751Z 
2025-08-26T20:37:07.6995475Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:37:07.6995892Z   what():  std::bad_array_new_length
2025-08-26T20:39:20.1453136Z Run failed with return code:  -6
2025-08-26T20:39:20.1453447Z Output:  None
2025-08-26T20:39:20.1453658Z Error:  None
2025-08-26T20:39:22.6389758Z 
2025-08-26T20:39:22.8503104Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:39:22.8503648Z   what():  std::bad_array_new_length
2025-08-26T20:41:32.2596237Z Run failed with return code:  -6
2025-08-26T20:41:32.2600526Z Output:  None
2025-08-26T20:41:32.2600838Z Error:  None
2025-08-26T20:41:34.8215013Z 
2025-08-26T20:41:35.0351834Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:41:35.0352269Z   what():  std::bad_array_new_length
2025-08-26T20:43:45.2268088Z Run failed with return code:  -6
2025-08-26T20:43:45.2271678Z Output:  None
2025-08-26T20:43:45.2271952Z Error:  None
2025-08-26T20:43:47.7859002Z 
2025-08-26T20:43:47.9986318Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:43:47.9986750Z   what():  std::bad_array_new_length
2025-08-26T20:46:01.0582233Z Run failed with return code:  -6
2025-08-26T20:46:01.0586085Z Output:  None
2025-08-26T20:46:01.0586650Z Error:  None
2025-08-26T20:46:03.5895384Z 
2025-08-26T20:46:03.7996411Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:46:03.7996864Z   what():  std::bad_array_new_length
2025-08-26T20:48:13.6331665Z Run failed with return code:  -6
2025-08-26T20:48:13.6335536Z Output:  None
2025-08-26T20:48:13.6338734Z Error:  None
2025-08-26T20:48:16.1615640Z 
2025-08-26T20:48:16.3778995Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:48:16.3779491Z   what():  std::bad_array_new_length
2025-08-26T20:50:27.6043292Z Run failed with return code:  -6
2025-08-26T20:50:27.6043600Z Output:  None
2025-08-26T20:50:27.6043773Z Error:  None
2025-08-26T20:50:30.1687525Z 
2025-08-26T20:50:36.3173764Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:50:36.3176748Z loading model: 0it [00:06, ?it/s]
2025-08-26T20:50:36.3177195Z cpu  eval  dlrm                               
2025-08-26T20:50:36.8602548Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:37.0441049Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:37.2514932Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:40.0452094Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0452689Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0453063Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0453410Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0453775Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0454127Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0454398Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0454757Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0455049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0455605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0459359Z     return mod(*inputs)
2025-08-26T20:50:40.0463527Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0464534Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0464983Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-26T20:50:40.0465366Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-26T20:50:40.0465733Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0466060Z     return layers(x)
2025-08-26T20:50:40.0466172Z 
2025-08-26T20:50:40.0466296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0466678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0467039Z     return mod(*inputs)
2025-08-26T20:50:40.0467365Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0467726Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0468120Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:40.0468492Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:40.0468855Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:40.0469230Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:40.0469404Z 
2025-08-26T20:50:40.0469530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0469918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0470261Z     return mod(*inputs)
2025-08-26T20:50:40.0470547Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0470897Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0471298Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:40.0471648Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:40.0471990Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:40.0472364Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:40.0472541Z 
2025-08-26T20:50:40.0472788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0473316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0473673Z     return mod(*inputs)
2025-08-26T20:50:40.0473974Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0474330Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0474719Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:40.0475092Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:40.0475444Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:40.0475812Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:40.0475983Z 
2025-08-26T20:50:40.0476098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0476484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0476840Z     return mod(*inputs)
2025-08-26T20:50:40.0477130Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0477486Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0477860Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:40.0478229Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:40.0478579Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:40.0478944Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:40.0479157Z 
2025-08-26T20:50:40.0479275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0479697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0480045Z     return mod(*inputs)
2025-08-26T20:50:40.0480338Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0480699Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0481081Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:40.0481446Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:40.0481802Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:40.0482175Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:40.0482349Z 
2025-08-26T20:50:40.0482502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0482902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0483264Z     return mod(*inputs)
2025-08-26T20:50:40.0483555Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0483908Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0484309Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:40.0484687Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:40.0485028Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:40.0485411Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:40.0485584Z 
2025-08-26T20:50:40.0485695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0486080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0486435Z     return mod(*inputs)
2025-08-26T20:50:40.0486727Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0487074Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0487446Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:40.0487857Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:40.0488201Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:40.0488574Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:40.0488748Z 
2025-08-26T20:50:40.0488860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0489242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0489612Z     return mod(*inputs)
2025-08-26T20:50:40.0489910Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0490264Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0490641Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:40.0491005Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:40.0491348Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:40.0491715Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:40.0491886Z 
2025-08-26T20:50:40.0491996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0492375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0492719Z     return mod(*inputs)
2025-08-26T20:50:40.0493011Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0493369Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0493778Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-26T20:50:40.0494161Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-26T20:50:40.0494498Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0494824Z     return layers(x)
2025-08-26T20:50:40.0494933Z 
2025-08-26T20:50:40.0495043Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0495424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0495768Z     return mod(*inputs)
2025-08-26T20:50:40.0496056Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0496401Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0496779Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-26T20:50:40.0497145Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-26T20:50:40.0497479Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0497798Z     return layers(x)
2025-08-26T20:50:40.0497916Z 
2025-08-26T20:50:40.0498002Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0498233Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0498456Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0498674Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0498881Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0499091Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0499312Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0499526Z cudagraph partition due to non gpu ops
2025-08-26T20:50:40.0499760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0500140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0500486Z     return mod(*inputs)
2025-08-26T20:50:40.0500776Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0501124Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0501483Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-26T20:50:40.0501874Z     z = self.interact_features(x, ly)
2025-08-26T20:50:40.0502223Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features
2025-08-26T20:50:40.0502624Z     T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d))
2025-08-26T20:50:40.0502808Z 
2025-08-26T20:50:40.0502922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0503324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0503675Z     return mod(*inputs)
2025-08-26T20:50:40.0503967Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0504327Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0504697Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-26T20:50:40.0505057Z     z = self.interact_features(x, ly)
2025-08-26T20:50:40.0505410Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features
2025-08-26T20:50:40.0505780Z     Z = torch.bmm(T, torch.transpose(T, 1, 2))
2025-08-26T20:50:40.0505931Z 
2025-08-26T20:50:40.0506042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0506424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0506769Z     return mod(*inputs)
2025-08-26T20:50:40.0507063Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0507422Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0507882Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-26T20:50:40.0508233Z     z = self.interact_features(x, ly)
2025-08-26T20:50:40.0508572Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features
2025-08-26T20:50:40.0508911Z     Zflat = Z[:, li, lj]
2025-08-26T20:50:40.0509027Z 
2025-08-26T20:50:40.0509135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0509512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0509859Z     return mod(*inputs)
2025-08-26T20:50:40.0510159Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0510503Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0510857Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-26T20:50:40.0511206Z     z = self.interact_features(x, ly)
2025-08-26T20:50:40.0511549Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features
2025-08-26T20:50:40.0511902Z     R = torch.cat([x] + [Zflat], dim=1)
2025-08-26T20:50:40.0512045Z 
2025-08-26T20:50:40.0512156Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0512544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0513204Z     return mod(*inputs)
2025-08-26T20:50:40.0513507Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0513877Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0514239Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:40.0514979Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:40.0515317Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0515647Z     return layers(x)
2025-08-26T20:50:40.0515756Z 
2025-08-26T20:50:40.0515868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0516251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0516593Z     return mod(*inputs)
2025-08-26T20:50:40.0517007Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0517365Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0517742Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:40.0518099Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:40.0518441Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0518782Z     return layers(x)
2025-08-26T20:50:40.0518893Z 
2025-08-26T20:50:40.0519004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0519402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0519748Z     return mod(*inputs)
2025-08-26T20:50:40.0520041Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0520398Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0520774Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:40.0521131Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:40.0521456Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0521786Z     return layers(x)
2025-08-26T20:50:40.0521890Z 
2025-08-26T20:50:40.0522000Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0522391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0522808Z     return mod(*inputs)
2025-08-26T20:50:40.0523096Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0523455Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0523844Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:40.0524205Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:40.0524536Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0524862Z     return layers(x)
2025-08-26T20:50:40.0524966Z 
2025-08-26T20:50:40.0525075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0525479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0525832Z     return mod(*inputs)
2025-08-26T20:50:40.0526128Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0526478Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0526852Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:40.0527225Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:40.0527540Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0527855Z     return layers(x)
2025-08-26T20:50:40.0527957Z 
2025-08-26T20:50:40.0528067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0528437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0528772Z     return mod(*inputs)
2025-08-26T20:50:40.0529052Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0529392Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0529756Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:40.0530109Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:40.0530425Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0530735Z     return layers(x)
2025-08-26T20:50:40.0530834Z 
2025-08-26T20:50:40.0530938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0531345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0531681Z     return mod(*inputs)
2025-08-26T20:50:40.0531967Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0532311Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0532688Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:40.0533036Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:40.0533359Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0533684Z     return layers(x)
2025-08-26T20:50:40.0533785Z 
2025-08-26T20:50:40.0533890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:40.0534267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:40.0534612Z     return mod(*inputs)
2025-08-26T20:50:40.0534904Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:40.0535250Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:40.0535626Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:40.0535986Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:40.0536327Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:40.0536655Z     return layers(x)
2025-08-26T20:50:40.0536764Z 
2025-08-26T20:50:47.2633579Z Compilation time (from dynamo_timed): 8.786225363
2025-08-26T20:50:47.2635630Z pass
2025-08-26T20:50:47.2637850Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:47.2638712Z TIMING: _recursive_pre_grad_passes:0.00426 _recursive_joint_graph_passes:0.13399 _recursive_post_grad_passes:0.01875 async_compile.wait:0.59743 code_gen:7.03956 inductor_compile:7.41167 backend_compile:8.35992 gc:0.00075 entire_frame_compile:8.78623 total_wall_time:8.78623
2025-08-26T20:50:47.2639817Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1821 | FakeTensor.__torch_dispatch__:365 | ProxyTorchDispatchMode.__torch_dispatch__:500
2025-08-26T20:50:47.2640381Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique)
2025-08-26T20:50:51.3876840Z 
2025-08-26T20:50:52.4793226Z 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
2025-08-26T20:50:52.7902144Z 
2025-08-26T20:50:52.7904998Z 
2025-08-26T20:50:52.8910035Z   0% 0/102021912 [00:00<?, ?it/s]
2025-08-26T20:50:52.8910279Z 
2025-08-26T20:50:52.9907936Z  34% 34771968/102021912 [00:00<00:00, 347715037.50it/s]
2025-08-26T20:50:52.9908171Z 
2025-08-26T20:50:53.0827401Z  68% 69584896/102021912 [00:00<00:00, 347926210.70it/s]
2025-08-26T20:50:53.0827772Z 102022144it [00:00, 349247401.87it/s]                  
2025-08-26T20:50:54.3255585Z 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
2025-08-26T20:50:54.6559138Z 
2025-08-26T20:50:54.6559510Z 
2025-08-26T20:50:54.7559916Z   0% 0/63286381 [00:00<?, ?it/s]
2025-08-26T20:50:54.7560134Z 
2025-08-26T20:50:54.8471020Z  54% 33875968/63286381 [00:00<00:00, 338749503.71it/s]
2025-08-26T20:50:54.8471346Z 63287296it [00:00, 331791523.62it/s]                  
2025-08-26T20:50:57.4794776Z 
2025-08-26T20:50:57.4798662Z loading model: 0it [00:06, ?it/s]
2025-08-26T20:50:57.4818922Z cpu  eval  doctr_det_predictor                
2025-08-26T20:51:14.8470435Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:18.7227185Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:22.4484541Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:38.4620644Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4621053Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4621269Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4621492Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4621712Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4621922Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4622134Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4622352Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4622596Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4622810Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4623023Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4623239Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4623448Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4623670Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4623878Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4624093Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4624311Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4624524Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4624755Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4625024Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4625241Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4625468Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4625681Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4626297Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4626557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4627109Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4627641Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4628061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4628433Z     x = module(x)
2025-08-26T20:51:38.4628549Z 
2025-08-26T20:51:38.4628666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4629227Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4629706Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4630071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4630434Z     x = module(x)
2025-08-26T20:51:38.4630532Z 
2025-08-26T20:51:38.4630648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4631166Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4631638Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4632016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4632380Z     x = module(x)
2025-08-26T20:51:38.4632479Z 
2025-08-26T20:51:38.4632770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4633290Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4633760Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4634134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4634491Z     x = module(x)
2025-08-26T20:51:38.4634819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4635178Z     out = self.conv1(x)
2025-08-26T20:51:38.4635297Z 
2025-08-26T20:51:38.4635519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4636014Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4636470Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4636823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4637170Z     x = module(x)
2025-08-26T20:51:38.4637494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4637873Z     out = self.relu(out)
2025-08-26T20:51:38.4638000Z 
2025-08-26T20:51:38.4638112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4638605Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4639067Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4639430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4639782Z     x = module(x)
2025-08-26T20:51:38.4640101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4640445Z     out = self.conv2(out)
2025-08-26T20:51:38.4640569Z 
2025-08-26T20:51:38.4640675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4641152Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4641643Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4641990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4642363Z     x = module(x)
2025-08-26T20:51:38.4642685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4643040Z     out = self.relu(out)
2025-08-26T20:51:38.4643165Z 
2025-08-26T20:51:38.4643263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4643713Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4644140Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4644489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4644832Z     x = module(x)
2025-08-26T20:51:38.4645150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4645485Z     out = self.conv3(out)
2025-08-26T20:51:38.4645592Z 
2025-08-26T20:51:38.4645697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4646145Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4646598Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4646945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4647287Z     x = module(x)
2025-08-26T20:51:38.4647602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-26T20:51:38.4647972Z     identity = self.downsample(x)
2025-08-26T20:51:38.4648112Z 
2025-08-26T20:51:38.4648217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4648700Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4649145Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4649523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4649858Z     x = module(x)
2025-08-26T20:51:38.4650176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4650514Z     out = self.conv1(x)
2025-08-26T20:51:38.4650620Z 
2025-08-26T20:51:38.4650727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4651174Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4651602Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4651932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4652255Z     x = module(x)
2025-08-26T20:51:38.4652560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4652923Z     out = self.relu(out)
2025-08-26T20:51:38.4653043Z 
2025-08-26T20:51:38.4653151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4653630Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4654074Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4654394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4654719Z     x = module(x)
2025-08-26T20:51:38.4655023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4655424Z     out = self.conv2(out)
2025-08-26T20:51:38.4655544Z 
2025-08-26T20:51:38.4655660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4656145Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4656607Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4656961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4657314Z     x = module(x)
2025-08-26T20:51:38.4657643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4658001Z     out = self.relu(out)
2025-08-26T20:51:38.4658120Z 
2025-08-26T20:51:38.4658229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4658717Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4659176Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4659521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4659872Z     x = module(x)
2025-08-26T20:51:38.4660200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4660561Z     out = self.conv3(out)
2025-08-26T20:51:38.4660677Z 
2025-08-26T20:51:38.4660793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4661277Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4661734Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4662088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4662441Z     x = module(x)
2025-08-26T20:51:38.4662763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4663124Z     out = self.relu(out)
2025-08-26T20:51:38.4663244Z 
2025-08-26T20:51:38.4663354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4663895Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4664352Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4664698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4665047Z     x = module(x)
2025-08-26T20:51:38.4665371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4665724Z     out = self.conv1(x)
2025-08-26T20:51:38.4665835Z 
2025-08-26T20:51:38.4665949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4666440Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4666911Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4667278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4667637Z     x = module(x)
2025-08-26T20:51:38.4667964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4668345Z     out = self.relu(out)
2025-08-26T20:51:38.4668468Z 
2025-08-26T20:51:38.4668580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4669080Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4669579Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4669925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4670306Z     x = module(x)
2025-08-26T20:51:38.4670624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4670999Z     out = self.conv2(out)
2025-08-26T20:51:38.4671116Z 
2025-08-26T20:51:38.4671227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4671726Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4672196Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4672558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4673014Z     x = module(x)
2025-08-26T20:51:38.4673333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4673701Z     out = self.relu(out)
2025-08-26T20:51:38.4673822Z 
2025-08-26T20:51:38.4673931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4674422Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4674889Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4675237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4675592Z     x = module(x)
2025-08-26T20:51:38.4675920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4676299Z     out = self.conv3(out)
2025-08-26T20:51:38.4676416Z 
2025-08-26T20:51:38.4676524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4677019Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4677485Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4677840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4678193Z     x = module(x)
2025-08-26T20:51:38.4678567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4678939Z     out = self.relu(out)
2025-08-26T20:51:38.4679059Z 
2025-08-26T20:51:38.4679168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4679659Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4680121Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4680471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4680824Z     x = module(x)
2025-08-26T20:51:38.4681154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4681513Z     out = self.conv1(x)
2025-08-26T20:51:38.4681624Z 
2025-08-26T20:51:38.4681735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4682234Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4682699Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4683053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4683402Z     x = module(x)
2025-08-26T20:51:38.4683723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4684084Z     out = self.relu(out)
2025-08-26T20:51:38.4684202Z 
2025-08-26T20:51:38.4684308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4684843Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4685301Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4685662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4686012Z     x = module(x)
2025-08-26T20:51:38.4686344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4686697Z     out = self.conv2(out)
2025-08-26T20:51:38.4686810Z 
2025-08-26T20:51:38.4686913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4687399Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4687852Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4688201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4688549Z     x = module(x)
2025-08-26T20:51:38.4688870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4689244Z     out = self.relu(out)
2025-08-26T20:51:38.4689353Z 
2025-08-26T20:51:38.4689471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4689954Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4690403Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4690751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4691106Z     x = module(x)
2025-08-26T20:51:38.4691422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4691758Z     out = self.conv3(out)
2025-08-26T20:51:38.4691862Z 
2025-08-26T20:51:38.4691960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4692422Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4692888Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4693220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4693537Z     x = module(x)
2025-08-26T20:51:38.4693833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-26T20:51:38.4694174Z     identity = self.downsample(x)
2025-08-26T20:51:38.4694298Z 
2025-08-26T20:51:38.4694405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4694859Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4695279Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4695604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4695927Z     x = module(x)
2025-08-26T20:51:38.4696234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4696561Z     out = self.conv1(x)
2025-08-26T20:51:38.4696661Z 
2025-08-26T20:51:38.4696760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4697210Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4697654Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4698004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4698336Z     x = module(x)
2025-08-26T20:51:38.4698698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4699065Z     out = self.relu(out)
2025-08-26T20:51:38.4699188Z 
2025-08-26T20:51:38.4699303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4699790Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4700230Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4700575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4700917Z     x = module(x)
2025-08-26T20:51:38.4701239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4701600Z     out = self.conv2(out)
2025-08-26T20:51:38.4701710Z 
2025-08-26T20:51:38.4701815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4702298Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4702751Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4703097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4703434Z     x = module(x)
2025-08-26T20:51:38.4703752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4704103Z     out = self.relu(out)
2025-08-26T20:51:38.4704214Z 
2025-08-26T20:51:38.4704329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4704811Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4705253Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4705607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4705951Z     x = module(x)
2025-08-26T20:51:38.4706279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4706632Z     out = self.conv3(out)
2025-08-26T20:51:38.4706753Z 
2025-08-26T20:51:38.4707038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4707536Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4708004Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4708386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4708730Z     x = module(x)
2025-08-26T20:51:38.4709068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4709435Z     out = self.relu(out)
2025-08-26T20:51:38.4709547Z 
2025-08-26T20:51:38.4709664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4710159Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4710617Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4710976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4711323Z     x = module(x)
2025-08-26T20:51:38.4711650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4712017Z     out = self.conv1(x)
2025-08-26T20:51:38.4712135Z 
2025-08-26T20:51:38.4712247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4712843Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4713369Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4713730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4714083Z     x = module(x)
2025-08-26T20:51:38.4714407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4715087Z     out = self.relu(out)
2025-08-26T20:51:38.4715201Z 
2025-08-26T20:51:38.4715318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4715806Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4716252Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4716602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4716953Z     x = module(x)
2025-08-26T20:51:38.4717258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4717590Z     out = self.conv2(out)
2025-08-26T20:51:38.4717710Z 
2025-08-26T20:51:38.4717816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4718314Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4718744Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4719073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4719388Z     x = module(x)
2025-08-26T20:51:38.4719702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4720058Z     out = self.relu(out)
2025-08-26T20:51:38.4720169Z 
2025-08-26T20:51:38.4720284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4720768Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4721215Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4721673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4722001Z     x = module(x)
2025-08-26T20:51:38.4722301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4722629Z     out = self.conv3(out)
2025-08-26T20:51:38.4722745Z 
2025-08-26T20:51:38.4722846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4723302Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4723747Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4724097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4724431Z     x = module(x)
2025-08-26T20:51:38.4724747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4725100Z     out = self.relu(out)
2025-08-26T20:51:38.4725207Z 
2025-08-26T20:51:38.4725324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4725795Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4726247Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4726592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4726932Z     x = module(x)
2025-08-26T20:51:38.4727250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4728452Z     out = self.conv1(x)
2025-08-26T20:51:38.4728566Z 
2025-08-26T20:51:38.4728670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4729149Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4729600Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4729947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4730279Z     x = module(x)
2025-08-26T20:51:38.4730598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4730956Z     out = self.relu(out)
2025-08-26T20:51:38.4731060Z 
2025-08-26T20:51:38.4731167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4731615Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4732067Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4732413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4732752Z     x = module(x)
2025-08-26T20:51:38.4733070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4733414Z     out = self.conv2(out)
2025-08-26T20:51:38.4733532Z 
2025-08-26T20:51:38.4733637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4734114Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4734562Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4734898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4735235Z     x = module(x)
2025-08-26T20:51:38.4735551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4735901Z     out = self.relu(out)
2025-08-26T20:51:38.4736009Z 
2025-08-26T20:51:38.4736120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4736634Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4737092Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4737440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4737782Z     x = module(x)
2025-08-26T20:51:38.4738101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4738451Z     out = self.conv3(out)
2025-08-26T20:51:38.4738571Z 
2025-08-26T20:51:38.4738678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4739165Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4739621Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4739980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4740325Z     x = module(x)
2025-08-26T20:51:38.4740655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4741019Z     out = self.relu(out)
2025-08-26T20:51:38.4741130Z 
2025-08-26T20:51:38.4741244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4741718Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4742175Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4742560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4742903Z     x = module(x)
2025-08-26T20:51:38.4743223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4743586Z     out = self.conv1(x)
2025-08-26T20:51:38.4743700Z 
2025-08-26T20:51:38.4743808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4744290Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4744740Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4745089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4745428Z     x = module(x)
2025-08-26T20:51:38.4745754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4746122Z     out = self.relu(out)
2025-08-26T20:51:38.4746229Z 
2025-08-26T20:51:38.4746341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4746813Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4747270Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4747616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4748010Z     x = module(x)
2025-08-26T20:51:38.4748331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4748693Z     out = self.conv2(out)
2025-08-26T20:51:38.4748811Z 
2025-08-26T20:51:38.4748914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4749393Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4749846Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4750185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4750529Z     x = module(x)
2025-08-26T20:51:38.4750892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4751259Z     out = self.relu(out)
2025-08-26T20:51:38.4751371Z 
2025-08-26T20:51:38.4751484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4751973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4752435Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4752889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4753250Z     x = module(x)
2025-08-26T20:51:38.4753577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4753955Z     out = self.conv3(out)
2025-08-26T20:51:38.4754078Z 
2025-08-26T20:51:38.4754186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4754687Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4755156Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4755509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4755869Z     x = module(x)
2025-08-26T20:51:38.4756200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-26T20:51:38.4756577Z     identity = self.downsample(x)
2025-08-26T20:51:38.4756712Z 
2025-08-26T20:51:38.4756820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4757353Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4757815Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4758176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4758525Z     x = module(x)
2025-08-26T20:51:38.4758842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4759200Z     out = self.conv1(x)
2025-08-26T20:51:38.4759320Z 
2025-08-26T20:51:38.4759428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4759920Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4760378Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4760726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4761073Z     x = module(x)
2025-08-26T20:51:38.4761399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4761759Z     out = self.relu(out)
2025-08-26T20:51:38.4761871Z 
2025-08-26T20:51:38.4761984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4762478Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4762939Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4763291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4763641Z     x = module(x)
2025-08-26T20:51:38.4763957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4764321Z     out = self.conv2(out)
2025-08-26T20:51:38.4764450Z 
2025-08-26T20:51:38.4764554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4765028Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4765516Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4765860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4766200Z     x = module(x)
2025-08-26T20:51:38.4766518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4766864Z     out = self.relu(out)
2025-08-26T20:51:38.4766973Z 
2025-08-26T20:51:38.4767078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4767556Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4768010Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4768359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4768699Z     x = module(x)
2025-08-26T20:51:38.4769012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4769364Z     out = self.conv3(out)
2025-08-26T20:51:38.4769482Z 
2025-08-26T20:51:38.4769586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4770063Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4770505Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4770852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4771243Z     x = module(x)
2025-08-26T20:51:38.4771563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4771916Z     out = self.relu(out)
2025-08-26T20:51:38.4772026Z 
2025-08-26T20:51:38.4772132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4772618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4773068Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4773416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4773758Z     x = module(x)
2025-08-26T20:51:38.4774068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4774430Z     out = self.conv1(x)
2025-08-26T20:51:38.4774537Z 
2025-08-26T20:51:38.4774650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4775131Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4775573Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4775919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4776274Z     x = module(x)
2025-08-26T20:51:38.4776614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4776973Z     out = self.relu(out)
2025-08-26T20:51:38.4777080Z 
2025-08-26T20:51:38.4777185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4777664Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4778115Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4778462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4778795Z     x = module(x)
2025-08-26T20:51:38.4779112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4779472Z     out = self.conv2(out)
2025-08-26T20:51:38.4779584Z 
2025-08-26T20:51:38.4779737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4780220Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4780669Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4781027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4781385Z     x = module(x)
2025-08-26T20:51:38.4781700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4782053Z     out = self.relu(out)
2025-08-26T20:51:38.4782159Z 
2025-08-26T20:51:38.4782262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4782741Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4783185Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4783528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4783860Z     x = module(x)
2025-08-26T20:51:38.4784177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4784525Z     out = self.conv3(out)
2025-08-26T20:51:38.4784636Z 
2025-08-26T20:51:38.4784749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4785225Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4785760Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4786112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4786459Z     x = module(x)
2025-08-26T20:51:38.4786786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4787142Z     out = self.relu(out)
2025-08-26T20:51:38.4787260Z 
2025-08-26T20:51:38.4787368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4787862Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4788324Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4788682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4789026Z     x = module(x)
2025-08-26T20:51:38.4789358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4789718Z     out = self.conv1(x)
2025-08-26T20:51:38.4789828Z 
2025-08-26T20:51:38.4789944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4790441Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4790895Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4791255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4791606Z     x = module(x)
2025-08-26T20:51:38.4791934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4792287Z     out = self.relu(out)
2025-08-26T20:51:38.4792406Z 
2025-08-26T20:51:38.4792515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4793108Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4793581Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4793989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4794339Z     x = module(x)
2025-08-26T20:51:38.4794671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4795049Z     out = self.conv2(out)
2025-08-26T20:51:38.4795165Z 
2025-08-26T20:51:38.4795281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4795774Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4796228Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4796590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4796941Z     x = module(x)
2025-08-26T20:51:38.4797266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4797633Z     out = self.relu(out)
2025-08-26T20:51:38.4797753Z 
2025-08-26T20:51:38.4797862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4798356Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4798821Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4799175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4799522Z     x = module(x)
2025-08-26T20:51:38.4799847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4800247Z     out = self.conv3(out)
2025-08-26T20:51:38.4800360Z 
2025-08-26T20:51:38.4800475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4800963Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4801429Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4801782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4802148Z     x = module(x)
2025-08-26T20:51:38.4802466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4802809Z     out = self.relu(out)
2025-08-26T20:51:38.4802925Z 
2025-08-26T20:51:38.4803028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4803508Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4803964Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4804308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4804641Z     x = module(x)
2025-08-26T20:51:38.4804967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4805323Z     out = self.conv1(x)
2025-08-26T20:51:38.4805429Z 
2025-08-26T20:51:38.4805541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4806013Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4806468Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4806813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4807155Z     x = module(x)
2025-08-26T20:51:38.4807477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4807821Z     out = self.relu(out)
2025-08-26T20:51:38.4807936Z 
2025-08-26T20:51:38.4808041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4808555Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4809009Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4809354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4809687Z     x = module(x)
2025-08-26T20:51:38.4810005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4810358Z     out = self.conv2(out)
2025-08-26T20:51:38.4810468Z 
2025-08-26T20:51:38.4810580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4811059Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4811510Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4811860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4812201Z     x = module(x)
2025-08-26T20:51:38.4812520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4812862Z     out = self.relu(out)
2025-08-26T20:51:38.4812977Z 
2025-08-26T20:51:38.4813081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4813558Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4814007Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4814390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4814888Z     x = module(x)
2025-08-26T20:51:38.4815211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4815582Z     out = self.conv3(out)
2025-08-26T20:51:38.4815694Z 
2025-08-26T20:51:38.4815811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4816286Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4816741Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4817092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4817436Z     x = module(x)
2025-08-26T20:51:38.4817754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4818107Z     out = self.relu(out)
2025-08-26T20:51:38.4818222Z 
2025-08-26T20:51:38.4818327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4818802Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4819255Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4819594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4819941Z     x = module(x)
2025-08-26T20:51:38.4820262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4820630Z     out = self.conv1(x)
2025-08-26T20:51:38.4820736Z 
2025-08-26T20:51:38.4820846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4821314Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4821768Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4822114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4822457Z     x = module(x)
2025-08-26T20:51:38.4822853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4823212Z     out = self.relu(out)
2025-08-26T20:51:38.4823330Z 
2025-08-26T20:51:38.4823440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4823943Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4824396Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4824739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4825084Z     x = module(x)
2025-08-26T20:51:38.4825412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4825768Z     out = self.conv2(out)
2025-08-26T20:51:38.4825881Z 
2025-08-26T20:51:38.4826022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4826498Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4826957Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4827315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4827678Z     x = module(x)
2025-08-26T20:51:38.4827989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4828343Z     out = self.relu(out)
2025-08-26T20:51:38.4828460Z 
2025-08-26T20:51:38.4828564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4829101Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4829563Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4829917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4830269Z     x = module(x)
2025-08-26T20:51:38.4830596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4830955Z     out = self.conv3(out)
2025-08-26T20:51:38.4831068Z 
2025-08-26T20:51:38.4831177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4831672Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4832136Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4832495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4832912Z     x = module(x)
2025-08-26T20:51:38.4833239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4833600Z     out = self.relu(out)
2025-08-26T20:51:38.4833719Z 
2025-08-26T20:51:38.4833830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4834332Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4834849Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4835201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4835556Z     x = module(x)
2025-08-26T20:51:38.4835884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4836253Z     out = self.conv1(x)
2025-08-26T20:51:38.4836363Z 
2025-08-26T20:51:38.4836472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4836975Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4837503Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4837862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4838211Z     x = module(x)
2025-08-26T20:51:38.4838526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4838899Z     out = self.relu(out)
2025-08-26T20:51:38.4839016Z 
2025-08-26T20:51:38.4839122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4839614Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4840083Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4840429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4840785Z     x = module(x)
2025-08-26T20:51:38.4841116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4841477Z     out = self.conv2(out)
2025-08-26T20:51:38.4841590Z 
2025-08-26T20:51:38.4841698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4842190Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4842650Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4843003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4843354Z     x = module(x)
2025-08-26T20:51:38.4843711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4844092Z     out = self.relu(out)
2025-08-26T20:51:38.4844206Z 
2025-08-26T20:51:38.4844312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4844789Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4845235Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4845584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4845930Z     x = module(x)
2025-08-26T20:51:38.4846247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4846597Z     out = self.conv3(out)
2025-08-26T20:51:38.4846709Z 
2025-08-26T20:51:38.4846816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4847302Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4847753Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4848106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4848449Z     x = module(x)
2025-08-26T20:51:38.4848760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-26T20:51:38.4849122Z     identity = self.downsample(x)
2025-08-26T20:51:38.4849254Z 
2025-08-26T20:51:38.4849368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4849846Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4850283Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4850634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4850974Z     x = module(x)
2025-08-26T20:51:38.4851290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4851636Z     out = self.conv1(x)
2025-08-26T20:51:38.4851742Z 
2025-08-26T20:51:38.4851893Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4852374Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4852829Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4853177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4853514Z     x = module(x)
2025-08-26T20:51:38.4853819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4854171Z     out = self.relu(out)
2025-08-26T20:51:38.4854278Z 
2025-08-26T20:51:38.4854390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4854869Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4855312Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4855659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4856000Z     x = module(x)
2025-08-26T20:51:38.4856318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4856673Z     out = self.conv2(out)
2025-08-26T20:51:38.4856784Z 
2025-08-26T20:51:38.4856889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4857371Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4857873Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4858216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4858549Z     x = module(x)
2025-08-26T20:51:38.4858868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4859223Z     out = self.relu(out)
2025-08-26T20:51:38.4859334Z 
2025-08-26T20:51:38.4859446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4859925Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4860372Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4860723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4861077Z     x = module(x)
2025-08-26T20:51:38.4861396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4861748Z     out = self.conv3(out)
2025-08-26T20:51:38.4861859Z 
2025-08-26T20:51:38.4861964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4862447Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4862894Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4863239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4863573Z     x = module(x)
2025-08-26T20:51:38.4863890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4864254Z     out = self.relu(out)
2025-08-26T20:51:38.4864363Z 
2025-08-26T20:51:38.4864475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4864959Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4865403Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4865791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4866137Z     x = module(x)
2025-08-26T20:51:38.4866451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:38.4866793Z     out = self.conv1(x)
2025-08-26T20:51:38.4866909Z 
2025-08-26T20:51:38.4867012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4867489Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4867936Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4868281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4868613Z     x = module(x)
2025-08-26T20:51:38.4868929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:38.4869276Z     out = self.relu(out)
2025-08-26T20:51:38.4869384Z 
2025-08-26T20:51:38.4869499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4869973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4870411Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4870751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4871090Z     x = module(x)
2025-08-26T20:51:38.4871413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:38.4871807Z     out = self.conv2(out)
2025-08-26T20:51:38.4871929Z 
2025-08-26T20:51:38.4872036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4872528Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4873092Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4873456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4873800Z     x = module(x)
2025-08-26T20:51:38.4874129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:38.4874495Z     out = self.relu(out)
2025-08-26T20:51:38.4874600Z 
2025-08-26T20:51:38.4874710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4875156Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4875589Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4875918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4876243Z     x = module(x)
2025-08-26T20:51:38.4876560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:38.4876907Z     out = self.conv3(out)
2025-08-26T20:51:38.4877025Z 
2025-08-26T20:51:38.4877131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4877614Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:38.4878065Z     feats = self.feat_extractor(x)
2025-08-26T20:51:38.4878410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:38.4878744Z     x = module(x)
2025-08-26T20:51:38.4879068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:38.4879432Z     out = self.relu(out)
2025-08-26T20:51:38.4879541Z 
2025-08-26T20:51:38.4879653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4880173Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4880625Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4881068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:38.4881668Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4882205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:38.4882734Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4882941Z 
2025-08-26T20:51:38.4883048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4883533Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4883989Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4884430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:38.4884940Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4885476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:38.4885997Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4886234Z 
2025-08-26T20:51:38.4886341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4886823Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4887272Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4887712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:38.4888227Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4888751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:38.4889269Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4889466Z 
2025-08-26T20:51:38.4889583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4890061Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4890514Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4890960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-26T20:51:38.4891434Z     out.append(self.upsample(out[-1]) + t)
2025-08-26T20:51:38.4891581Z 
2025-08-26T20:51:38.4891692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4892166Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4892617Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4893059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:38.4893582Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4894099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:38.4894622Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4894879Z 
2025-08-26T20:51:38.4894985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4895476Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4895937Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4896388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-26T20:51:38.4896850Z     out.append(self.upsample(out[-1]) + t)
2025-08-26T20:51:38.4897003Z 
2025-08-26T20:51:38.4897116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4897595Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4898051Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4898496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:38.4899008Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4899529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:38.4900057Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:38.4900256Z 
2025-08-26T20:51:38.4900371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4900897Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4901345Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4901790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-26T20:51:38.4902267Z     out.append(self.upsample(out[-1]) + t)
2025-08-26T20:51:38.4902412Z 
2025-08-26T20:51:38.4902521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4902996Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4903454Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4903905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:38.4907908Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4908491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:38.4909021Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4909209Z 
2025-08-26T20:51:38.4909322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4909803Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4910254Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4910691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:38.4911191Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4911691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:38.4912213Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4912405Z 
2025-08-26T20:51:38.4912513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4913401Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4913884Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4914317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:38.4915019Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4915528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:38.4916042Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4916221Z 
2025-08-26T20:51:38.4916335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4916812Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4917269Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4917712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:38.4918214Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4918721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:38.4919220Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4919407Z 
2025-08-26T20:51:38.4919610Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4920098Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4920549Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4920996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:38.4921492Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4921999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:38.4922530Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4922718Z 
2025-08-26T20:51:38.4922826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4923307Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4923767Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4924202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:38.4924704Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4925209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:38.4925719Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4925898Z 
2025-08-26T20:51:38.4926009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4926488Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4926945Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4927389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:38.4927889Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4928456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:38.4928957Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4929148Z 
2025-08-26T20:51:38.4929257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4929745Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4930204Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4930649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:38.4931147Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4931660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:38.4932179Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:38.4932361Z 
2025-08-26T20:51:38.4932478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4932965Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:38.4933415Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:38.4933865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 91, in forward
2025-08-26T20:51:38.4934358Z     return torch.cat(out, dim=1)
2025-08-26T20:51:38.4934484Z 
2025-08-26T20:51:38.4934579Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4934826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4935299Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-26T20:51:38.4935756Z     logits = self.prob_head(feat_concat)
2025-08-26T20:51:38.4935902Z 
2025-08-26T20:51:38.4936006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4936490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-26T20:51:38.4936943Z     logits = self.prob_head(feat_concat)
2025-08-26T20:51:38.4937080Z 
2025-08-26T20:51:38.4937187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4937663Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-26T20:51:38.4938122Z     logits = self.prob_head(feat_concat)
2025-08-26T20:51:38.4938259Z 
2025-08-26T20:51:38.4938371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4938847Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-26T20:51:38.4939293Z     logits = self.prob_head(feat_concat)
2025-08-26T20:51:38.4939434Z 
2025-08-26T20:51:38.4939518Z cudagraph partition due to non gpu ops
2025-08-26T20:51:38.4939764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:38.4940238Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-08-26T20:51:38.4940713Z     prob_map = _bf16_to_float32(torch.sigmoid(logits))
2025-08-26T20:51:38.4940880Z 
2025-08-26T20:51:53.2533199Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:53.2533778Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/core.py", line 95, in __call__
2025-08-26T20:51:53.2534236Z     for bmap in (proba_map >= self.bin_thresh).astype(np.uint8)
2025-08-26T20:51:53.2534435Z 
2025-08-26T20:51:55.1587330Z Compilation time (from dynamo_timed): 29.791531332
2025-08-26T20:51:55.1587650Z pass
2025-08-26T20:51:55.1592706Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:55.1594169Z TIMING: gc:0.00509 entire_frame_compile:29.79153 _recursive_pre_grad_passes:0.01001 _recursive_joint_graph_passes:0.19345 _recursive_post_grad_passes:0.14123 async_compile.wait:1.19945 code_gen:13.30605 inductor_compile:15.89772 backend_compile:20.05147 total_wall_time:29.79153
2025-08-26T20:51:55.1595658Z STATS: call_* op count: 230 | FakeTensorMode.__torch_dispatch__:17210 | FakeTensor.__torch_dispatch__:7874 | ProxyTorchDispatchMode.__torch_dispatch__:6953
2025-08-26T20:51:55.1596224Z Dynamo produced 4 graphs covering 230 ops with 5 graph breaks (2 unique)
2025-08-26T20:51:59.6212005Z 
2025-08-26T20:52:02.2480786Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:02.2481110Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:52:02.2485422Z cpu  eval  doctr_reco_predictor               
2025-08-26T20:52:02.4695421Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:02.5186827Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:02.5656658Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:16.4710140Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4710499Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4710733Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4710954Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4711605Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4711833Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4712050Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4712271Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4712486Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4712938Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4713158Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4713378Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4713595Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4713820Z cudagraph partition due to non gpu ops
2025-08-26T20:52:16.4714079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4714827Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4715256Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4715409Z 
2025-08-26T20:52:16.4715533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4715983Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4716397Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4716533Z 
2025-08-26T20:52:16.4716653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4717095Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4717511Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4717649Z 
2025-08-26T20:52:16.4717751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4718161Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4718559Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4718696Z 
2025-08-26T20:52:16.4718801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4719244Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4719655Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4719791Z 
2025-08-26T20:52:16.4719907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4720463Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4720839Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4720972Z 
2025-08-26T20:52:16.4721073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4721481Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4721862Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4722003Z 
2025-08-26T20:52:16.4722115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4722552Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4722955Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4723101Z 
2025-08-26T20:52:16.4723213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4723650Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4724053Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4724189Z 
2025-08-26T20:52:16.4724294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4724714Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4725111Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4725240Z 
2025-08-26T20:52:16.4725352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4725828Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4726229Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4726368Z 
2025-08-26T20:52:16.4726474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4726910Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4727311Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4727441Z 
2025-08-26T20:52:16.4727546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4727968Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4728366Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4728496Z 
2025-08-26T20:52:16.4728636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4729071Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4729488Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4729609Z 
2025-08-26T20:52:16.4729707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4730112Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4730492Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4730616Z 
2025-08-26T20:52:16.4730721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4731123Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4731491Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4731624Z 
2025-08-26T20:52:16.4731724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4732127Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4732510Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4732634Z 
2025-08-26T20:52:16.4732742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4733178Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4733585Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4733723Z 
2025-08-26T20:52:16.4733827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4734257Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4734658Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4734780Z 
2025-08-26T20:52:16.4734880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4735281Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4735673Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4735803Z 
2025-08-26T20:52:16.4735914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4736339Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4736741Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4736879Z 
2025-08-26T20:52:16.4736983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4737412Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4737810Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4737940Z 
2025-08-26T20:52:16.4738044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4738466Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4738905Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4739037Z 
2025-08-26T20:52:16.4739148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4739569Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4739959Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4740096Z 
2025-08-26T20:52:16.4740201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4740620Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4741017Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4741146Z 
2025-08-26T20:52:16.4741257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4741670Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4742070Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4742206Z 
2025-08-26T20:52:16.4742307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4742728Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4743140Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4743270Z 
2025-08-26T20:52:16.4743373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4743792Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4744186Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4744314Z 
2025-08-26T20:52:16.4744424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4744837Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4745236Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4745383Z 
2025-08-26T20:52:16.4745480Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4745876Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4746288Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4746413Z 
2025-08-26T20:52:16.4746513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:16.4746910Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:52:16.4747286Z     features = self.feat_extractor(x)
2025-08-26T20:52:16.4747417Z 
2025-08-26T20:52:20.0721546Z E0826 20:52:20.070547 14959 site-packages/torch/fx/experimental/recording.py:315] [2/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{})
2025-08-26T20:52:20.1566987Z E0826 20:52:20.155045 14959 site-packages/torch/fx/experimental/recording.py:315] [3/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{})
2025-08-26T20:52:20.2917789Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:20.2918365Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 75, in ctc_best_path
2025-08-26T20:52:20.2918923Z     probs = F.softmax(logits, dim=-1).max(dim=-1).values.min(dim=1).values
2025-08-26T20:52:20.2919126Z 
2025-08-26T20:52:21.2549200Z Compilation time (from dynamo_timed): 17.55164333
2025-08-26T20:52:21.2549517Z pass
2025-08-26T20:52:21.2552720Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:21.2553657Z TIMING: gc:0.00547 entire_frame_compile:17.55164 _recursive_pre_grad_passes:0.00518 _recursive_joint_graph_passes:0.44513 _recursive_post_grad_passes:0.04388 async_compile.wait:1.45409 code_gen:3.39346 inductor_compile:4.17407 backend_compile:7.76297 total_wall_time:17.55164
2025-08-26T20:52:21.2555085Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:5217 | attempt fast:118 | fast is_contiguous:118 | FakeTensor.__torch_dispatch__:1490 | ProxyTorchDispatchMode.__torch_dispatch__:1316
2025-08-26T20:52:21.2555709Z Dynamo produced 2 graphs covering 56 ops with 4 graph breaks (3 unique)
2025-08-26T20:52:25.7093510Z 
2025-08-26T20:52:25.7645106Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-08-26T20:52:25.7646104Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-08-26T20:52:25.7646773Z 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.
2025-08-26T20:52:25.7647431Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-08-26T20:52:26.3621081Z 
2025-08-26T20:52:26.3621803Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:26.3622169Z cpu  eval  drq                                
2025-08-26T20:52:26.3704167Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:26.3752410Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:26.3796733Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:28.7209177Z cudagraph partition due to non gpu ops
2025-08-26T20:52:28.7209528Z cudagraph partition due to non gpu ops
2025-08-26T20:52:28.7209758Z cudagraph partition due to non gpu ops
2025-08-26T20:52:28.7209980Z cudagraph partition due to non gpu ops
2025-08-26T20:52:28.7210242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7210669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7211077Z     return mod(*inputs)
2025-08-26T20:52:28.7211366Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:52:28.7211699Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:52:28.7212013Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:52:28.7212720Z     h = self.forward_conv(obs)
2025-08-26T20:52:28.7213037Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-08-26T20:52:28.7213382Z     conv = torch.relu(self.convs[0](obs))
2025-08-26T20:52:28.7213526Z 
2025-08-26T20:52:28.7213642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7214057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7214412Z     return mod(*inputs)
2025-08-26T20:52:28.7214872Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:52:28.7215245Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:52:28.7215558Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:52:28.7215851Z     h = self.forward_conv(obs)
2025-08-26T20:52:28.7216150Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-26T20:52:28.7216478Z     conv = torch.relu(self.convs[i](conv))
2025-08-26T20:52:28.7216622Z 
2025-08-26T20:52:28.7216735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7217128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7217478Z     return mod(*inputs)
2025-08-26T20:52:28.7217743Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:52:28.7218024Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:52:28.7218326Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:52:28.7218656Z     h = self.forward_conv(obs)
2025-08-26T20:52:28.7219051Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-26T20:52:28.7219470Z     conv = torch.relu(self.convs[i](conv))
2025-08-26T20:52:28.7219627Z 
2025-08-26T20:52:28.7219736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7220131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7220472Z     return mod(*inputs)
2025-08-26T20:52:28.7220714Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:52:28.7220991Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:52:28.7221279Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:52:28.7221548Z     h = self.forward_conv(obs)
2025-08-26T20:52:28.7221815Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-26T20:52:28.7222148Z     conv = torch.relu(self.convs[i](conv))
2025-08-26T20:52:28.7222291Z 
2025-08-26T20:52:28.7222472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7222882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7223220Z     return mod(*inputs)
2025-08-26T20:52:28.7223480Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:52:28.7223784Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:52:28.7224088Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:52:28.7224352Z     h = self.forward_conv(obs)
2025-08-26T20:52:28.7224620Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-26T20:52:28.7224900Z     conv = torch.relu(self.convs[i](conv))
2025-08-26T20:52:28.7225035Z 
2025-08-26T20:52:28.7225135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7225487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7225808Z     return mod(*inputs)
2025-08-26T20:52:28.7226049Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:52:28.7226327Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:52:28.7226611Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward
2025-08-26T20:52:28.7226937Z     out = self.head(h)
2025-08-26T20:52:28.7227043Z 
2025-08-26T20:52:28.7227151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7227503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7227846Z     return mod(*inputs)
2025-08-26T20:52:28.7228107Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:52:28.7228414Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:52:28.7228712Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward
2025-08-26T20:52:28.7229004Z     out = torch.tanh(out)
2025-08-26T20:52:28.7229122Z 
2025-08-26T20:52:28.7229227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7229645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7229993Z     return mod(*inputs)
2025-08-26T20:52:28.7230243Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:52:28.7230543Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:52:28.7230700Z 
2025-08-26T20:52:28.7230805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7231181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7231519Z     return mod(*inputs)
2025-08-26T20:52:28.7231799Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:52:28.7232102Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:52:28.7232276Z 
2025-08-26T20:52:28.7232429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7233055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7233406Z     return mod(*inputs)
2025-08-26T20:52:28.7233676Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:52:28.7234004Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:52:28.7234146Z 
2025-08-26T20:52:28.7234255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7234607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7234918Z     return mod(*inputs)
2025-08-26T20:52:28.7235159Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:52:28.7235443Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:52:28.7235582Z 
2025-08-26T20:52:28.7235700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7236031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7236342Z     return mod(*inputs)
2025-08-26T20:52:28.7236665Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:52:28.7236991Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:52:28.7237141Z 
2025-08-26T20:52:28.7237251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:28.7237614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:28.7237956Z     return mod(*inputs)
2025-08-26T20:52:28.7238218Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward
2025-08-26T20:52:28.7238495Z     std = log_std.exp()
2025-08-26T20:52:28.7238591Z 
2025-08-26T20:52:36.3220078Z Compilation time (from dynamo_timed): 8.908802461
2025-08-26T20:52:36.3220580Z pass
2025-08-26T20:52:36.3229422Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:36.3230323Z TIMING: _recursive_pre_grad_passes:0.0047 _recursive_joint_graph_passes:0.1309 _recursive_post_grad_passes:0.01898 async_compile.wait:0.8064 code_gen:7.20155 inductor_compile:7.32142 backend_compile:8.25635 gc:0.00093 entire_frame_compile:8.9088 total_wall_time:8.9088
2025-08-26T20:52:36.3231594Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:1189 | ProxyTorchDispatchMode.__torch_dispatch__:290
2025-08-26T20:52:36.3232130Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-08-26T20:52:40.3180885Z 
2025-08-26T20:52:41.7599976Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:41.7600269Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:52:41.7617586Z cpu  eval  fastNLP_Bert                       
2025-08-26T20:52:42.9209952Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:43.5031717Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:44.0931240Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:45.2169613Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-26T20:52:45.2170577Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-26T20:52:45.2171250Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-26T20:52:45.2171897Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-26T20:52:45.2172632Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-26T20:52:45.2173569Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:52:45.2174057Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-26T20:52:45.2174759Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:45.2175469Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(*inputs)
2025-08-26T20:52:45.2176202Z W0826 20:52:45.215158 16575 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
2025-08-26T20:52:45.2176944Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     sequence_output = self.bert(words)
2025-08-26T20:52:45.2177693Z W0826 20:52:45.215158 16575 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
2025-08-26T20:52:45.2178496Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.model(words)
2025-08-26T20:52:45.2179255Z W0826 20:52:45.215158 16575 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
2025-08-26T20:52:45.2183532Z W0826 20:52:45.215158 16575 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)
2025-08-26T20:52:45.2184200Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:52:45.2184600Z W0826 20:52:45.215158 16575 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:52:52.9438125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:52.9439538Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-08-26T20:52:52.9441030Z     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-08-26T20:52:52.9441350Z 
2025-08-26T20:52:52.9441475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:52.9441937Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward
2025-08-26T20:52:52.9442347Z     seq_len = word_mask.sum(dim=-1)
2025-08-26T20:52:52.9442493Z 
2025-08-26T20:53:00.4703742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4704277Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward
2025-08-26T20:53:00.4704739Z     embedding_output = self.embeddings(input_ids, token_type_ids)
2025-08-26T20:53:00.4705219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward
2025-08-26T20:53:00.4705712Z     embeddings = words_embeddings + position_embeddings + token_type_embeddings
2025-08-26T20:53:00.4705943Z 
2025-08-26T20:53:00.4707247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4707720Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4708144Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4708551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4708997Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4709427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4710250Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4710726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4711144Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4711554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4711981Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4712154Z 
2025-08-26T20:53:00.4712272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4712926Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4713344Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4713809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4714245Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4714804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4715239Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4715677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4716090Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4716557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4716959Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4717120Z 
2025-08-26T20:53:00.4717235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4717638Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4718027Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4718420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4718830Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4720145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4720612Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4721046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4721470Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4721877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4722272Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4722429Z 
2025-08-26T20:53:00.4722519Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4722753Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4723000Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4723405Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4723809Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4724193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4724617Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4725047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4725479Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4725920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4726410Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4726829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4727219Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4727365Z 
2025-08-26T20:53:00.4727478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4727875Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4728276Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4728664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4729071Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4729485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4729907Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4730388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4730770Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4730912Z 
2025-08-26T20:53:00.4731026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4731432Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4731831Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4732231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4732642Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4733041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4733453Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4733850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4734299Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4734699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4735095Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4735253Z 
2025-08-26T20:53:00.4735367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4735755Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4736141Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4736519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4736924Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4737316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4737743Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4738164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4738543Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4738684Z 
2025-08-26T20:53:00.4738795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4739182Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4739570Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4739949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4740396Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4740792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4741210Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4741627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4742032Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4742424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4742821Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4742969Z 
2025-08-26T20:53:00.4743075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4743470Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4743854Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4744237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4744638Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4745039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4745458Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4746037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4746430Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4746810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4747190Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4747339Z 
2025-08-26T20:53:00.4747444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4747925Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4748399Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4748784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4749198Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4749605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4750038Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4750462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4750858Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4751256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4751644Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4751795Z 
2025-08-26T20:53:00.4751894Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4752111Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4752362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4752824Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4753230Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4753626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4754042Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4754503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4754939Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4755384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4755815Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4756231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4756631Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4756789Z 
2025-08-26T20:53:00.4756897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4757308Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4757719Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4758116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4758541Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4758961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4759394Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4759815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4760218Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4760372Z 
2025-08-26T20:53:00.4760481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4760894Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4761309Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4761706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4762129Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4762594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4762990Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4763399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4763807Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4764205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4764597Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4764754Z 
2025-08-26T20:53:00.4764871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4765260Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4765618Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4765981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4766370Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4766750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4767146Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4767542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4767893Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4768025Z 
2025-08-26T20:53:00.4768169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4768537Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4768893Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4769254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4769636Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4770010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4770411Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4770797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4771169Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4771538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4771917Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4772069Z 
2025-08-26T20:53:00.4772184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4772569Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4772954Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4773329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4773731Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4774122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4774534Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4774928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4775297Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4775663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4776050Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4776195Z 
2025-08-26T20:53:00.4776297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4776668Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4777034Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4777396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4777778Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4778159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4778563Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4778963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4779340Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4779702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4780064Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4780215Z 
2025-08-26T20:53:00.4780295Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4780507Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4780732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4781111Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4781516Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4781893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4782297Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4782693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4783112Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4783509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4783918Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4784322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4784713Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4784859Z 
2025-08-26T20:53:00.4784971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4785354Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4785769Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4786178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4786604Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4787025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4787442Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4787847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4788244Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4788387Z 
2025-08-26T20:53:00.4788501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4788918Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4789317Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4789759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4790180Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4790591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4791019Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4791438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4791862Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4792271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4792762Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4792974Z 
2025-08-26T20:53:00.4793087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4793497Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4793901Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4794296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4794718Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4795144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4795615Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4796031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4796406Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4796548Z 
2025-08-26T20:53:00.4796666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4797051Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4797440Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4797822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4798230Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4798631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4799057Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4799479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4799877Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4800272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4800647Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4800807Z 
2025-08-26T20:53:00.4800915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4801311Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4801699Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4802080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4802482Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4802881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4803302Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4803762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4804157Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4804538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4804911Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4805058Z 
2025-08-26T20:53:00.4805165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4805559Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4805945Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4806315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4806721Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4807124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4807547Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4807958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4808348Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4808741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4809133Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4809345Z 
2025-08-26T20:53:00.4809432Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4809635Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4809871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4810249Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4810614Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4810972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4811348Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4811731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4812135Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4812532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4812918Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4813306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4813660Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4813800Z 
2025-08-26T20:53:00.4813909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4814287Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4814851Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4815221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4815609Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4815993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4816392Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4816770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4817133Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4817372Z 
2025-08-26T20:53:00.4817479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4817855Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4818224Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4818583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4818970Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4819354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4819753Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4820137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4820532Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4820908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4821278Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4821427Z 
2025-08-26T20:53:00.4821537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4821904Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4822277Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4822638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4823081Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4823478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4823900Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4824331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4824707Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4824850Z 
2025-08-26T20:53:00.4824963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4825364Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4825748Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4826107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4826519Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4826916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4827336Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4827756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4828149Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4828537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4828919Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4829073Z 
2025-08-26T20:53:00.4829179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4829574Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4829965Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4830344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4830786Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4831181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4831607Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4832027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4832424Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4832872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4833248Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4833399Z 
2025-08-26T20:53:00.4833507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4833900Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4834294Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4834671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4835080Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4835484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4835908Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4836328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4836763Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4837155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4837536Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4837688Z 
2025-08-26T20:53:00.4837784Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4838006Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4838244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4838644Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4839045Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4839429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4839830Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4840230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4840634Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4841036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4841423Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4841801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4842163Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4842304Z 
2025-08-26T20:53:00.4842404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4842780Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4843147Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4843504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4843910Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4844352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4844762Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4845172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4845543Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4845683Z 
2025-08-26T20:53:00.4845782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4846150Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4846516Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4846868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4847250Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4847629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4848016Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4848394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4848769Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4849138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4849507Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4849657Z 
2025-08-26T20:53:00.4849766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4850180Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4850542Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4850913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4851300Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4851688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4852096Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4852489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4852847Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4852990Z 
2025-08-26T20:53:00.4853096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4853469Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4853836Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4854204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4854593Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4854973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4855377Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4855794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4856199Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4856570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4856943Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4857088Z 
2025-08-26T20:53:00.4857196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4857597Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4857974Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4858324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4858700Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4859073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4859488Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4859909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4860303Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4860690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4861067Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4861210Z 
2025-08-26T20:53:00.4861316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4861709Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4862096Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4862471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4862854Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4863312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4863735Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4864155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4864554Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4864933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4865319Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4865474Z 
2025-08-26T20:53:00.4865559Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4865779Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4866026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4866414Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4866804Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4867197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4867583Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4867960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4868360Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4868761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4869150Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4869540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4869909Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4870063Z 
2025-08-26T20:53:00.4870169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4870567Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4870956Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4871376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4871777Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4872179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4872677Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4873107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4873503Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4873657Z 
2025-08-26T20:53:00.4873767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4874173Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4874578Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4874976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4875377Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4875788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4876205Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4876623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4877006Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4877419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4877788Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4877942Z 
2025-08-26T20:53:00.4878042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4878415Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4878779Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4879132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4879515Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4879892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4880300Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4880697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4881047Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4881187Z 
2025-08-26T20:53:00.4881290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4881656Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4882052Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4882424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4882829Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4883226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4883654Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4884071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4884532Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4884941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4885306Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4885449Z 
2025-08-26T20:53:00.4885558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4885931Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4886292Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4886654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4887041Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4887420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4887819Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4888209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4888586Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4888955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4889310Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4889448Z 
2025-08-26T20:53:00.4889556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4889917Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4890321Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4890680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4891066Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4891441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4891843Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4892236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4892631Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4893019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4893395Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4893557Z 
2025-08-26T20:53:00.4893642Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4893862Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4894101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4894488Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4894874Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4895260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4895664Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4896049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4896465Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4896880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4897299Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4897702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4898077Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4898264Z 
2025-08-26T20:53:00.4898373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4898770Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4899160Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4899538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4899945Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4900342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4900759Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4901170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4901558Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4901702Z 
2025-08-26T20:53:00.4901810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4902208Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4902606Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4902985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4903414Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4903810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4904264Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4904669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4905087Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4905486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4905865Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4906027Z 
2025-08-26T20:53:00.4906134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4906525Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4906926Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4907307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4907719Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4908098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4908499Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4908894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4909248Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4909383Z 
2025-08-26T20:53:00.4909482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4909852Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4910221Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4910600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4910998Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4911394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4911882Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4912310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4912820Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4913222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4913617Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4913782Z 
2025-08-26T20:53:00.4913890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4914299Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4914891Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4915248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4915640Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4916022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4916429Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4916830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4917200Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4917571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4918014Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4918152Z 
2025-08-26T20:53:00.4918258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4918623Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4918992Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4919352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4919736Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4920116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4920508Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4920905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4921280Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4921652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4922012Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4922156Z 
2025-08-26T20:53:00.4922239Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4922450Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4922683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4923071Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4923427Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4923784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4924164Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4924545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4924942Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4925330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4925781Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4926169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4926537Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4926674Z 
2025-08-26T20:53:00.4926783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4927155Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4927528Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4927898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4928288Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4928660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4929044Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4929436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4929799Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4929934Z 
2025-08-26T20:53:00.4930042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4930412Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4930785Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4931190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4931563Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4931945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4932331Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4932708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4933087Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4933462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4933830Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4933977Z 
2025-08-26T20:53:00.4934079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4934456Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4934824Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4935188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4935576Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4935939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4936325Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4936767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4937119Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4937253Z 
2025-08-26T20:53:00.4937352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4937727Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4938092Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4938501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4938885Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4939261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4939663Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4940064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4940442Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4940813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4941171Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4941321Z 
2025-08-26T20:53:00.4941422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4941803Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4942178Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4942540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4942929Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4943301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4943702Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4944098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4944506Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4944871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4945227Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4945362Z 
2025-08-26T20:53:00.4945471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4945840Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4946192Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4946554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4946958Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4947356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4947782Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4948189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4948599Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4948988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4949387Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4949536Z 
2025-08-26T20:53:00.4949627Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4949839Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4950083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4950484Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4950884Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4951269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4951699Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4952157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4952686Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4953127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4953534Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4953943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4954321Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4954472Z 
2025-08-26T20:53:00.4954592Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4954992Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4955378Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4955772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4956160Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4956544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4956932Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4957324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4957679Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4957861Z 
2025-08-26T20:53:00.4957969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4958359Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4958740Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4959124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4959527Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4959930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4960330Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4960709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4961090Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4961488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4961885Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4962035Z 
2025-08-26T20:53:00.4962142Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4962509Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4962879Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4963237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4963618Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4963988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4964390Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4964788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4965146Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4965279Z 
2025-08-26T20:53:00.4965385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4965800Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4966172Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4966534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4966916Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4967292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4967685Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4968084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4968459Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4968828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4969191Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4969333Z 
2025-08-26T20:53:00.4969434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4969809Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4970180Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4970536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4970918Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4971332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4971731Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4972131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4972510Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4972873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.4973229Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.4973369Z 
2025-08-26T20:53:00.4973468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4973842Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4974212Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4974566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4974950Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4975331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4975730Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4976123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4976487Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4976918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.4977281Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.4977423Z 
2025-08-26T20:53:00.4977512Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4977717Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.4977950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4978330Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4978744Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4979101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4979476Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4979852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4980251Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4980646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.4981031Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.4981402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.4981752Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4981890Z 
2025-08-26T20:53:00.4981994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4982368Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4982758Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4983133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4983512Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4983890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4984319Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4984719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.4985095Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4985242Z 
2025-08-26T20:53:00.4985352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4985747Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4986136Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4986520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4986948Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4987347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.4987761Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.4988165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.4988561Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.4988959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.4989344Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.4989501Z 
2025-08-26T20:53:00.4989617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4990008Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4990398Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4990782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4991187Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4991587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.4992017Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.4992477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.4992948Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.4993101Z 
2025-08-26T20:53:00.4993223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4993642Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4994052Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4994460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4994880Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4995286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.4995731Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.4996160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.4996575Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.4996978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.4997376Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.4997527Z 
2025-08-26T20:53:00.4997639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.4998036Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.4998488Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.4998869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.4999278Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.4999668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.5000092Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.5000518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.5000923Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.5001319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.5001703Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.5001852Z 
2025-08-26T20:53:00.5001957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5002360Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5002761Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5003203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5003602Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5004000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.5004423Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.5004843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.5005250Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.5005637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.5006024Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.5006184Z 
2025-08-26T20:53:00.5006308Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.5006533Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.5006775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5007172Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5007560Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5007945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5008353Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5008751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.5009172Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.5009589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.5009982Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.5010363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.5010717Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.5010861Z 
2025-08-26T20:53:00.5010964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5011346Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5011747Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5012178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5012589Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5012992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.5013411Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.5013824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.5014207Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.5014358Z 
2025-08-26T20:53:00.5014643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5015050Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5015420Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5015784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5016165Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5016544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.5016941Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.5017328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.5017736Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.5018124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.5018514Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.5018678Z 
2025-08-26T20:53:00.5018787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5019190Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5019578Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5019952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5020436Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5020847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.5021277Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.5021691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.5022072Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.5022224Z 
2025-08-26T20:53:00.5022331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5022732Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5023103Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5023460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5023865Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5024271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.5024701Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.5025123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.5025515Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.5025906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:53:00.5026357Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:53:00.5026506Z 
2025-08-26T20:53:00.5026619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5027015Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5027395Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5027786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5028202Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5028613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.5029040Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.5029477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.5029881Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.5030275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:53:00.5030661Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:53:00.5030808Z 
2025-08-26T20:53:00.5030918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5031323Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5031720Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5032111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5032530Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5033006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.5033451Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.5033884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:53:00.5034350Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:53:00.5034747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:53:00.5035123Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:53:00.5035281Z 
2025-08-26T20:53:00.5035366Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.5035589Z cudagraph partition due to non gpu ops
2025-08-26T20:53:00.5035832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5036220Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5036610Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5036987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5037396Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5037799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:53:00.5038215Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:53:00.5038635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:53:00.5039042Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:53:00.5039447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:53:00.5039824Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.5040010Z 
2025-08-26T20:53:00.5040115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5040508Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5040899Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5041287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5041690Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5042093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.5042510Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.5042924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:53:00.5043300Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.5043447Z 
2025-08-26T20:53:00.5043552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5043945Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5044330Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5044710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5045117Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5045511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:53:00.5045920Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:53:00.5046327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:53:00.5046733Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:53:00.5047132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:53:00.5047511Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:53:00.5047676Z 
2025-08-26T20:53:00.5047781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5048216Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:53:00.5048610Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:53:00.5048985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:53:00.5049407Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:53:00.5049817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:53:00.5050246Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:53:00.5050651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:53:00.5051007Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:00.5051150Z 
2025-08-26T20:53:00.5051251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5051635Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-08-26T20:53:00.5052024Z     pooled_output = self.pooler(sequence_output)
2025-08-26T20:53:00.5052416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward
2025-08-26T20:53:00.5052811Z     pooled_output = self.dense(first_token_tensor)
2025-08-26T20:53:00.5052974Z 
2025-08-26T20:53:00.5053080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:00.5053480Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-08-26T20:53:00.5053909Z     pooled_output = self.pooler(sequence_output)
2025-08-26T20:53:00.5054289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward
2025-08-26T20:53:00.5054678Z     pooled_output = self.activation(pooled_output)
2025-08-26T20:53:00.5054843Z 
2025-08-26T20:53:03.2713369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:03.2715151Z    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
2025-08-26T20:53:03.2717049Z     return self.dropout(outputs)
2025-08-26T20:53:03.2717463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout
2025-08-26T20:53:03.2717865Z     return self.dropout_layer(words)
2025-08-26T20:53:03.2718015Z 
2025-08-26T20:53:03.9513586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:03.9514233Z    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
2025-08-26T20:53:03.9514990Z     logits = self.qa_outputs(sequence_output)  # [batch_size, seq_len, num_labels]
2025-08-26T20:53:03.9515221Z 
2025-08-26T20:53:04.2996445Z Compilation time (from dynamo_timed): 18.64571789
2025-08-26T20:53:04.2997004Z pass
2025-08-26T20:53:04.2997338Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:04.3004934Z TIMING: gc:0.00697 entire_frame_compile:18.64572 _recursive_pre_grad_passes:0.0103 _recursive_joint_graph_passes:0.77289 _recursive_post_grad_passes:0.07277 async_compile.wait:1.89774 code_gen:3.76611 inductor_compile:4.98963 backend_compile:9.13194 total_wall_time:18.64572
2025-08-26T20:53:04.3010796Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:15946 | ProxyTorchDispatchMode.__torch_dispatch__:6097 | FakeTensor.__torch_dispatch__:4216
2025-08-26T20:53:04.3011414Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique)
2025-08-26T20:53:08.7756478Z 
2025-08-26T20:53:09.1693461Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:53:09.1693786Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:53:09.1697866Z cpu  eval  functorch_dp_cifar10               
2025-08-26T20:53:09.2080604Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:09.2281172Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:09.2455814Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:19.1520938Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1521304Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1521573Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1521868Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1522169Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1522449Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1522731Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1523032Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1523249Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1523459Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1523699Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1523918Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1524175Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1524454Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1524739Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1525007Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1525272Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1525543Z cudagraph partition due to non gpu ops
2025-08-26T20:53:19.1525851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1526831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1527483Z     return mod(*inputs)
2025-08-26T20:53:19.1528184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1528774Z     return self._forward_impl(x)
2025-08-26T20:53:19.1529329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-08-26T20:53:19.1529738Z     x = self.conv1(x)
2025-08-26T20:53:19.1529857Z 
2025-08-26T20:53:19.1530018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1530412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1530762Z     return mod(*inputs)
2025-08-26T20:53:19.1531111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1531471Z     return self._forward_impl(x)
2025-08-26T20:53:19.1531840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-26T20:53:19.1532207Z     x = self.relu(x)
2025-08-26T20:53:19.1532310Z 
2025-08-26T20:53:19.1532425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1532818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1533160Z     return mod(*inputs)
2025-08-26T20:53:19.1533492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1533886Z     return self._forward_impl(x)
2025-08-26T20:53:19.1534261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-08-26T20:53:19.1534630Z     x = self.maxpool(x)
2025-08-26T20:53:19.1534741Z 
2025-08-26T20:53:19.1534844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1535243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1535584Z     return mod(*inputs)
2025-08-26T20:53:19.1535910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1536361Z     return self._forward_impl(x)
2025-08-26T20:53:19.1536737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:53:19.1537114Z     x = self.layer1(x)
2025-08-26T20:53:19.1537446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:53:19.1537809Z     out = self.conv1(x)
2025-08-26T20:53:19.1537919Z 
2025-08-26T20:53:19.1538022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1538410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1538804Z     return mod(*inputs)
2025-08-26T20:53:19.1539136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1539478Z     return self._forward_impl(x)
2025-08-26T20:53:19.1539854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:53:19.1540226Z     x = self.layer1(x)
2025-08-26T20:53:19.1540557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:53:19.1540911Z     out = self.relu(out)
2025-08-26T20:53:19.1541031Z 
2025-08-26T20:53:19.1541139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1541523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1541935Z     return mod(*inputs)
2025-08-26T20:53:19.1542264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1542667Z     return self._forward_impl(x)
2025-08-26T20:53:19.1543089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:53:19.1543465Z     x = self.layer1(x)
2025-08-26T20:53:19.1543790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:53:19.1544115Z     out = self.conv2(out)
2025-08-26T20:53:19.1544232Z 
2025-08-26T20:53:19.1544333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1544685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1545009Z     return mod(*inputs)
2025-08-26T20:53:19.1545311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1545636Z     return self._forward_impl(x)
2025-08-26T20:53:19.1545976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:53:19.1546323Z     x = self.layer1(x)
2025-08-26T20:53:19.1546633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:53:19.1546964Z     out = self.relu(out)
2025-08-26T20:53:19.1547080Z 
2025-08-26T20:53:19.1547183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1547535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1547847Z     return mod(*inputs)
2025-08-26T20:53:19.1548159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1548490Z     return self._forward_impl(x)
2025-08-26T20:53:19.1548835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:53:19.1549188Z     x = self.layer1(x)
2025-08-26T20:53:19.1549496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:53:19.1549836Z     out = self.conv1(x)
2025-08-26T20:53:19.1549946Z 
2025-08-26T20:53:19.1550053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1550493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1550844Z     return mod(*inputs)
2025-08-26T20:53:19.1551173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1551524Z     return self._forward_impl(x)
2025-08-26T20:53:19.1551896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:53:19.1552277Z     x = self.layer1(x)
2025-08-26T20:53:19.1552791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:53:19.1553160Z     out = self.relu(out)
2025-08-26T20:53:19.1553278Z 
2025-08-26T20:53:19.1553384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1553755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1554086Z     return mod(*inputs)
2025-08-26T20:53:19.1554417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1554768Z     return self._forward_impl(x)
2025-08-26T20:53:19.1555127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:53:19.1555505Z     x = self.layer1(x)
2025-08-26T20:53:19.1555827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:53:19.1556169Z     out = self.conv2(out)
2025-08-26T20:53:19.1556282Z 
2025-08-26T20:53:19.1556426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1556782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1557098Z     return mod(*inputs)
2025-08-26T20:53:19.1557417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1557746Z     return self._forward_impl(x)
2025-08-26T20:53:19.1558089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:53:19.1558438Z     x = self.layer1(x)
2025-08-26T20:53:19.1558748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:53:19.1559075Z     out = self.relu(out)
2025-08-26T20:53:19.1559185Z 
2025-08-26T20:53:19.1559285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1559636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1559954Z     return mod(*inputs)
2025-08-26T20:53:19.1560273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1560637Z     return self._forward_impl(x)
2025-08-26T20:53:19.1561006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1561372Z     x = self.layer2(x)
2025-08-26T20:53:19.1561695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:53:19.1562045Z     out = self.conv1(x)
2025-08-26T20:53:19.1562149Z 
2025-08-26T20:53:19.1562249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1562601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1562914Z     return mod(*inputs)
2025-08-26T20:53:19.1563227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1563561Z     return self._forward_impl(x)
2025-08-26T20:53:19.1563902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1564247Z     x = self.layer2(x)
2025-08-26T20:53:19.1564591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:53:19.1564915Z     out = self.relu(out)
2025-08-26T20:53:19.1565025Z 
2025-08-26T20:53:19.1565124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1565475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1565788Z     return mod(*inputs)
2025-08-26T20:53:19.1566098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1566427Z     return self._forward_impl(x)
2025-08-26T20:53:19.1566775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1567117Z     x = self.layer2(x)
2025-08-26T20:53:19.1567423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:53:19.1567748Z     out = self.conv2(out)
2025-08-26T20:53:19.1567893Z 
2025-08-26T20:53:19.1567994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1568344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1568657Z     return mod(*inputs)
2025-08-26T20:53:19.1568961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1569296Z     return self._forward_impl(x)
2025-08-26T20:53:19.1569638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1570023Z     x = self.layer2(x)
2025-08-26T20:53:19.1570323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-26T20:53:19.1570670Z     identity = self.downsample(x)
2025-08-26T20:53:19.1570802Z 
2025-08-26T20:53:19.1570903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1571285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1571604Z     return mod(*inputs)
2025-08-26T20:53:19.1571911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1572250Z     return self._forward_impl(x)
2025-08-26T20:53:19.1572591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1572936Z     x = self.layer2(x)
2025-08-26T20:53:19.1573236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:53:19.1573572Z     out = self.relu(out)
2025-08-26T20:53:19.1573683Z 
2025-08-26T20:53:19.1573782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1574135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1574453Z     return mod(*inputs)
2025-08-26T20:53:19.1574759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1575096Z     return self._forward_impl(x)
2025-08-26T20:53:19.1575440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1575786Z     x = self.layer2(x)
2025-08-26T20:53:19.1576084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:53:19.1576415Z     out = self.conv1(x)
2025-08-26T20:53:19.1576526Z 
2025-08-26T20:53:19.1576686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1577028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1577341Z     return mod(*inputs)
2025-08-26T20:53:19.1577693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1578034Z     return self._forward_impl(x)
2025-08-26T20:53:19.1578378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1578721Z     x = self.layer2(x)
2025-08-26T20:53:19.1579025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:53:19.1579355Z     out = self.relu(out)
2025-08-26T20:53:19.1579457Z 
2025-08-26T20:53:19.1579563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1579912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1580226Z     return mod(*inputs)
2025-08-26T20:53:19.1580536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1580872Z     return self._forward_impl(x)
2025-08-26T20:53:19.1581212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1581559Z     x = self.layer2(x)
2025-08-26T20:53:19.1581865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:53:19.1582196Z     out = self.conv2(out)
2025-08-26T20:53:19.1582300Z 
2025-08-26T20:53:19.1582405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1582747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1583062Z     return mod(*inputs)
2025-08-26T20:53:19.1583424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1583771Z     return self._forward_impl(x)
2025-08-26T20:53:19.1584097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:53:19.1584441Z     x = self.layer2(x)
2025-08-26T20:53:19.1584744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:53:19.1585074Z     out = self.relu(out)
2025-08-26T20:53:19.1585177Z 
2025-08-26T20:53:19.1585285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1585633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1585949Z     return mod(*inputs)
2025-08-26T20:53:19.1586264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1586607Z     return self._forward_impl(x)
2025-08-26T20:53:19.1586963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1587341Z     x = self.layer3(x)
2025-08-26T20:53:19.1587668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:53:19.1588019Z     out = self.conv1(x)
2025-08-26T20:53:19.1588123Z 
2025-08-26T20:53:19.1588235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1588609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1588959Z     return mod(*inputs)
2025-08-26T20:53:19.1589288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1589645Z     return self._forward_impl(x)
2025-08-26T20:53:19.1590013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1590406Z     x = self.layer3(x)
2025-08-26T20:53:19.1590756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:53:19.1591122Z     out = self.relu(out)
2025-08-26T20:53:19.1591231Z 
2025-08-26T20:53:19.1591382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1591770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1592121Z     return mod(*inputs)
2025-08-26T20:53:19.1592458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1593017Z     return self._forward_impl(x)
2025-08-26T20:53:19.1593397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1593786Z     x = self.layer3(x)
2025-08-26T20:53:19.1594128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:53:19.1594462Z     out = self.conv2(out)
2025-08-26T20:53:19.1594567Z 
2025-08-26T20:53:19.1594677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1595025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1595371Z     return mod(*inputs)
2025-08-26T20:53:19.1595714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1596087Z     return self._forward_impl(x)
2025-08-26T20:53:19.1596451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1596863Z     x = self.layer3(x)
2025-08-26T20:53:19.1597207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-26T20:53:19.1597629Z     identity = self.downsample(x)
2025-08-26T20:53:19.1597763Z 
2025-08-26T20:53:19.1597878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1598252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1598591Z     return mod(*inputs)
2025-08-26T20:53:19.1598951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1599318Z     return self._forward_impl(x)
2025-08-26T20:53:19.1599683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1600067Z     x = self.layer3(x)
2025-08-26T20:53:19.1600408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:53:19.1600784Z     out = self.relu(out)
2025-08-26T20:53:19.1600895Z 
2025-08-26T20:53:19.1601009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1601389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1601737Z     return mod(*inputs)
2025-08-26T20:53:19.1602077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1602451Z     return self._forward_impl(x)
2025-08-26T20:53:19.1602814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1603201Z     x = self.layer3(x)
2025-08-26T20:53:19.1603525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:53:19.1603874Z     out = self.conv1(x)
2025-08-26T20:53:19.1603978Z 
2025-08-26T20:53:19.1604089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1604455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1604791Z     return mod(*inputs)
2025-08-26T20:53:19.1605121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1605478Z     return self._forward_impl(x)
2025-08-26T20:53:19.1605875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1606245Z     x = self.layer3(x)
2025-08-26T20:53:19.1606566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:53:19.1606916Z     out = self.relu(out)
2025-08-26T20:53:19.1607026Z 
2025-08-26T20:53:19.1607138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1607498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1607829Z     return mod(*inputs)
2025-08-26T20:53:19.1608159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1608523Z     return self._forward_impl(x)
2025-08-26T20:53:19.1608879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1609247Z     x = self.layer3(x)
2025-08-26T20:53:19.1609572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:53:19.1609926Z     out = self.conv2(out)
2025-08-26T20:53:19.1610039Z 
2025-08-26T20:53:19.1610153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1610518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1610848Z     return mod(*inputs)
2025-08-26T20:53:19.1611180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1611536Z     return self._forward_impl(x)
2025-08-26T20:53:19.1612006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:53:19.1612366Z     x = self.layer3(x)
2025-08-26T20:53:19.1612690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:53:19.1613038Z     out = self.relu(out)
2025-08-26T20:53:19.1613150Z 
2025-08-26T20:53:19.1613274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1613614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1613927Z     return mod(*inputs)
2025-08-26T20:53:19.1614243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1614760Z     return self._forward_impl(x)
2025-08-26T20:53:19.1615104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:53:19.1615457Z     x = self.layer4(x)
2025-08-26T20:53:19.1615766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:53:19.1616101Z     out = self.conv1(x)
2025-08-26T20:53:19.1616200Z 
2025-08-26T20:53:19.1616310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1616657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1616974Z     return mod(*inputs)
2025-08-26T20:53:19.1617287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1617632Z     return self._forward_impl(x)
2025-08-26T20:53:19.1617966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:53:19.1618314Z     x = self.layer4(x)
2025-08-26T20:53:19.1618635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:53:19.1618987Z     out = self.relu(out)
2025-08-26T20:53:19.1619096Z 
2025-08-26T20:53:19.1619209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1619574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1619906Z     return mod(*inputs)
2025-08-26T20:53:19.1620324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1620662Z     return self._forward_impl(x)
2025-08-26T20:53:19.1620995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:53:19.1621339Z     x = self.layer4(x)
2025-08-26T20:53:19.1621641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:53:19.1621970Z     out = self.conv2(out)
2025-08-26T20:53:19.1622076Z 
2025-08-26T20:53:19.1622189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1622534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1622853Z     return mod(*inputs)
2025-08-26T20:53:19.1623167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1623508Z     return self._forward_impl(x)
2025-08-26T20:53:19.1623841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:53:19.1624187Z     x = self.layer4(x)
2025-08-26T20:53:19.1624494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-26T20:53:19.1624870Z     identity = self.downsample(x)
2025-08-26T20:53:19.1625001Z 
2025-08-26T20:53:19.1625114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1625478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1625866Z     return mod(*inputs)
2025-08-26T20:53:19.1626198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1626539Z     return self._forward_impl(x)
2025-08-26T20:53:19.1626898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:53:19.1627268Z     x = self.layer4(x)
2025-08-26T20:53:19.1627604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:53:19.1627966Z     out = self.relu(out)
2025-08-26T20:53:19.1628075Z 
2025-08-26T20:53:19.1628189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1628566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1628919Z     return mod(*inputs)
2025-08-26T20:53:19.1629280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1629649Z     return self._forward_impl(x)
2025-08-26T20:53:19.1630024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:53:19.1630402Z     x = self.layer4(x)
2025-08-26T20:53:19.1630736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:53:19.1631096Z     out = self.conv1(x)
2025-08-26T20:53:19.1631203Z 
2025-08-26T20:53:19.1631319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1631704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1632058Z     return mod(*inputs)
2025-08-26T20:53:19.1632407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1632942Z     return self._forward_impl(x)
2025-08-26T20:53:19.1633318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:53:19.1633706Z     x = self.layer4(x)
2025-08-26T20:53:19.1634039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:53:19.1634535Z     out = self.relu(out)
2025-08-26T20:53:19.1634649Z 
2025-08-26T20:53:19.1634762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1635148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1635492Z     return mod(*inputs)
2025-08-26T20:53:19.1635831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1636195Z     return self._forward_impl(x)
2025-08-26T20:53:19.1636560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:53:19.1636937Z     x = self.layer4(x)
2025-08-26T20:53:19.1637269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:53:19.1637636Z     out = self.conv2(out)
2025-08-26T20:53:19.1637748Z 
2025-08-26T20:53:19.1637864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1638229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1638563Z     return mod(*inputs)
2025-08-26T20:53:19.1638891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1639265Z     return self._forward_impl(x)
2025-08-26T20:53:19.1639618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-08-26T20:53:19.1639986Z     x = self.avgpool(x)
2025-08-26T20:53:19.1640099Z 
2025-08-26T20:53:19.1640238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:19.1640611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:19.1640941Z     return mod(*inputs)
2025-08-26T20:53:19.1641268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:53:19.1641626Z     return self._forward_impl(x)
2025-08-26T20:53:19.1641987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl
2025-08-26T20:53:19.1642352Z     x = self.fc(x)
2025-08-26T20:53:19.1642450Z 
2025-08-26T20:53:28.5322295Z Compilation time (from dynamo_timed): 18.252956562
2025-08-26T20:53:28.5322602Z pass
2025-08-26T20:53:28.5325161Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:28.5326059Z TIMING: _recursive_pre_grad_passes:0.00453 _recursive_joint_graph_passes:0.1984 _recursive_post_grad_passes:0.04864 async_compile.wait:0.7154 code_gen:9.30164 inductor_compile:11.32351 backend_compile:15.55902 gc:0.00036 entire_frame_compile:18.25296 total_wall_time:18.25296
2025-08-26T20:53:28.5327269Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:4195 | FakeTensor.__torch_dispatch__:2339 | attempt fast:90 | fast is_contiguous:86 | slow both tensors nontrivially broadcast:4 | ProxyTorchDispatchMode.__torch_dispatch__:1258
2025-08-26T20:53:28.5327969Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-08-26T20:53:33.0702260Z 
2025-08-26T20:53:33.2655465Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:53:33.2655908Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:53:33.2656193Z cpu  eval  functorch_maml_omniglot            
2025-08-26T20:53:33.2692376Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:33.2736174Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:33.2765788Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:35.8578288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8584597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8585505Z     return mod(*inputs)
2025-08-26T20:53:35.8585653Z 
2025-08-26T20:53:35.8585750Z cudagraph partition due to non gpu ops
2025-08-26T20:53:35.8585989Z cudagraph partition due to non gpu ops
2025-08-26T20:53:35.8586258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8586669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8587023Z     return mod(*inputs)
2025-08-26T20:53:35.8587137Z 
2025-08-26T20:53:35.8587253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8587641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8587994Z     return mod(*inputs)
2025-08-26T20:53:35.8588107Z 
2025-08-26T20:53:35.8588212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8588599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8588946Z     return mod(*inputs)
2025-08-26T20:53:35.8589052Z 
2025-08-26T20:53:35.8589159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8589545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8589888Z     return mod(*inputs)
2025-08-26T20:53:35.8589994Z 
2025-08-26T20:53:35.8590110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8590522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8590868Z     return mod(*inputs)
2025-08-26T20:53:35.8591100Z 
2025-08-26T20:53:35.8591209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8591605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8591960Z     return mod(*inputs)
2025-08-26T20:53:35.8592067Z 
2025-08-26T20:53:35.8592177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8592581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8593205Z     return mod(*inputs)
2025-08-26T20:53:35.8593315Z 
2025-08-26T20:53:35.8593432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8593824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8594170Z     return mod(*inputs)
2025-08-26T20:53:35.8594286Z 
2025-08-26T20:53:35.8594395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:35.8594794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:53:35.8595139Z     return mod(*inputs)
2025-08-26T20:53:35.8595240Z 
2025-08-26T20:53:43.0185193Z Compilation time (from dynamo_timed): 8.763835806
2025-08-26T20:53:43.0185645Z pass
2025-08-26T20:53:43.0185970Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:43.0186873Z TIMING: _recursive_pre_grad_passes:0.00391 _recursive_joint_graph_passes:0.34232 _recursive_post_grad_passes:0.01873 async_compile.wait:0.86175 code_gen:7.14575 inductor_compile:7.29434 backend_compile:8.45394 gc:0.00091 entire_frame_compile:8.76384 total_wall_time:8.76384
2025-08-26T20:53:43.0187855Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:1188 | ProxyTorchDispatchMode.__torch_dispatch__:289
2025-08-26T20:53:43.0188393Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-08-26T20:53:46.9734698Z 
2025-08-26T20:53:47.6762296Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:53:47.6762544Z 
2025-08-26T20:53:47.6804961Z config.json:   0% 0.00/684 [00:00<?, ?B/s]
2025-08-26T20:53:47.6805270Z config.json: 100% 684/684 [00:00<00:00, 155kB/s]
2025-08-26T20:53:48.8858972Z 
2025-08-26T20:53:48.8859629Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:53:48.8863348Z cpu  eval  hf_Albert                          
2025-08-26T20:53:50.1130526Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:50.6743398Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:51.2281454Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:06.5675436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5678771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5681443Z     return mod(**inputs)
2025-08-26T20:54:06.5681946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5682476Z     outputs = self.albert(
2025-08-26T20:54:06.5682892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward
2025-08-26T20:54:06.5683342Z     embedding_output = self.embeddings(
2025-08-26T20:54:06.5683779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 239, in forward
2025-08-26T20:54:06.5684216Z     embeddings += position_embeddings
2025-08-26T20:54:06.5684382Z 
2025-08-26T20:54:06.5684472Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5684707Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5684927Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5685142Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5685355Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5685948Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5686172Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5686411Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5686629Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5686848Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5687104Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5687326Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5687583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5688036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5688404Z     return mod(**inputs)
2025-08-26T20:54:06.5692235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5692669Z     outputs = self.albert(
2025-08-26T20:54:06.5693097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5693549Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5693979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 520, in forward
2025-08-26T20:54:06.5694482Z     hidden_states = self.embedding_hidden_mapping_in(hidden_states)
2025-08-26T20:54:06.5694708Z 
2025-08-26T20:54:06.5694831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5695241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5695668Z     return mod(**inputs)
2025-08-26T20:54:06.5696077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5696530Z     outputs = self.albert(
2025-08-26T20:54:06.5696947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5697388Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5697813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5698313Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5698920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5699502Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5700081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5700658Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5701231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.5701673Z     self.query(hidden_states)
2025-08-26T20:54:06.5701805Z 
2025-08-26T20:54:06.5701925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5702330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5702696Z     return mod(**inputs)
2025-08-26T20:54:06.5703098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5703514Z     outputs = self.albert(
2025-08-26T20:54:06.5703923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5704354Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5704780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5705272Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5705732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5706301Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5706865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5707443Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5708008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.5708498Z     self.key(hidden_states)
2025-08-26T20:54:06.5708626Z 
2025-08-26T20:54:06.5708744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5709135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5709498Z     return mod(**inputs)
2025-08-26T20:54:06.5709892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5710387Z     outputs = self.albert(
2025-08-26T20:54:06.5710825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5711257Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5711691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5712177Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5712830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5713420Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5714007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5714875Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5715464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.5715895Z     self.value(hidden_states)
2025-08-26T20:54:06.5716032Z 
2025-08-26T20:54:06.5716124Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5716396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5716789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5717131Z     return mod(**inputs)
2025-08-26T20:54:06.5717521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5717935Z     outputs = self.albert(
2025-08-26T20:54:06.5718320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5718744Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5719150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5719599Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5720051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5720598Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5721141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5721713Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5722244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.5722750Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.5722966Z 
2025-08-26T20:54:06.5723089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5723491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5723825Z     return mod(**inputs)
2025-08-26T20:54:06.5724214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5724689Z     outputs = self.albert(
2025-08-26T20:54:06.5725076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5725485Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5725893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5726354Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5726807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5727356Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5727905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5728438Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5728967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.5729420Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.5729594Z 
2025-08-26T20:54:06.5729716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5730136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5730482Z     return mod(**inputs)
2025-08-26T20:54:06.5730875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5731312Z     outputs = self.albert(
2025-08-26T20:54:06.5731711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5732150Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5732595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5733068Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5733558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5734134Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5734705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5735163Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5735609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5736055Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5736484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.5736985Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.5737141Z 
2025-08-26T20:54:06.5737256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5737645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5738021Z     return mod(**inputs)
2025-08-26T20:54:06.5738438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5738857Z     outputs = self.albert(
2025-08-26T20:54:06.5739251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5739685Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5740130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5740597Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5741063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5741625Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5742185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5742624Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5743053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5743489Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5743904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.5744321Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.5744677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.5745131Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.5745370Z 
2025-08-26T20:54:06.5745515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5745887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5746224Z     return mod(**inputs)
2025-08-26T20:54:06.5746611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5747022Z     outputs = self.albert(
2025-08-26T20:54:06.5747413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5747828Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5748239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5748689Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5749146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5749695Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5750243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5750669Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5751090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5751512Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5751933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.5752387Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.5752534Z 
2025-08-26T20:54:06.5752747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5753150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5753623Z     return mod(**inputs)
2025-08-26T20:54:06.5754053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5754568Z     outputs = self.albert(
2025-08-26T20:54:06.5754925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5755344Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5755738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5756193Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5756639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5757186Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5757724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5758266Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5758769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.5759155Z     self.query(hidden_states)
2025-08-26T20:54:06.5759269Z 
2025-08-26T20:54:06.5759370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5759738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5760073Z     return mod(**inputs)
2025-08-26T20:54:06.5760446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5760863Z     outputs = self.albert(
2025-08-26T20:54:06.5761219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5761602Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5761979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5762402Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5762811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5763316Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5763815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5764308Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5764801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.5765178Z     self.key(hidden_states)
2025-08-26T20:54:06.5765292Z 
2025-08-26T20:54:06.5765394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5765748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5766065Z     return mod(**inputs)
2025-08-26T20:54:06.5766419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5766810Z     outputs = self.albert(
2025-08-26T20:54:06.5767181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5767592Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5767972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5768409Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5768839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5769367Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5769926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5770456Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5770977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.5771377Z     self.value(hidden_states)
2025-08-26T20:54:06.5771507Z 
2025-08-26T20:54:06.5771595Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5771844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5772221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5772549Z     return mod(**inputs)
2025-08-26T20:54:06.5772931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5773335Z     outputs = self.albert(
2025-08-26T20:54:06.5773718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5774130Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5774525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5775026Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5775471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5776018Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5776553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5777071Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5777613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.5778097Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.5778304Z 
2025-08-26T20:54:06.5778423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5778800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5779124Z     return mod(**inputs)
2025-08-26T20:54:06.5779506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5779913Z     outputs = self.albert(
2025-08-26T20:54:06.5780272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5780656Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5781032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5781475Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5781901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5782426Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5782994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5783530Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5784064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.5784541Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.5784712Z 
2025-08-26T20:54:06.5784829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5785197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5785540Z     return mod(**inputs)
2025-08-26T20:54:06.5785929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5786343Z     outputs = self.albert(
2025-08-26T20:54:06.5786730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5787164Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5787562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5788016Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5788456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5789003Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5789558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5790040Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5790466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5790882Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5791305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.5791732Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.5791887Z 
2025-08-26T20:54:06.5791998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5792384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5792840Z     return mod(**inputs)
2025-08-26T20:54:06.5793236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5793655Z     outputs = self.albert(
2025-08-26T20:54:06.5794067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5794477Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5794882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5795336Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5795779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5796342Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5796880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5797309Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5797719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5798131Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5798538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.5798960Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.5799357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.5799825Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.5800076Z 
2025-08-26T20:54:06.5800186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5800563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5800902Z     return mod(**inputs)
2025-08-26T20:54:06.5801278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5801684Z     outputs = self.albert(
2025-08-26T20:54:06.5802068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5802485Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5802886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5803322Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5803768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5804300Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5804878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5805290Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5805697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5806106Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5806514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.5806936Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.5807078Z 
2025-08-26T20:54:06.5807194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5807557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5807892Z     return mod(**inputs)
2025-08-26T20:54:06.5808277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5808678Z     outputs = self.albert(
2025-08-26T20:54:06.5809050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5809451Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5809852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5810294Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5810734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5811290Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5811830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5812369Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5812901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.5813319Z     self.query(hidden_states)
2025-08-26T20:54:06.5813439Z 
2025-08-26T20:54:06.5813544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5813934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5814252Z     return mod(**inputs)
2025-08-26T20:54:06.5814763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5815152Z     outputs = self.albert(
2025-08-26T20:54:06.5815508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5815911Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5816317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5816768Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5817216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5817748Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5818294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5818824Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5819352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.5819845Z     self.key(hidden_states)
2025-08-26T20:54:06.5819962Z 
2025-08-26T20:54:06.5820067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5820437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5820774Z     return mod(**inputs)
2025-08-26T20:54:06.5821159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5821554Z     outputs = self.albert(
2025-08-26T20:54:06.5821939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5822352Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5822755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5823215Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5823659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5824195Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5824943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5825445Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5825940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.5826348Z     self.value(hidden_states)
2025-08-26T20:54:06.5826466Z 
2025-08-26T20:54:06.5826547Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5826791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5827167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5827518Z     return mod(**inputs)
2025-08-26T20:54:06.5827898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5828309Z     outputs = self.albert(
2025-08-26T20:54:06.5828703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5829193Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5829650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5830121Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5830590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5831166Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5831740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5832286Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5832912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.5833421Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.5833652Z 
2025-08-26T20:54:06.5833761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5834132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5834457Z     return mod(**inputs)
2025-08-26T20:54:06.5834884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5835291Z     outputs = self.albert(
2025-08-26T20:54:06.5835678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5836092Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5836481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5836926Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5837370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5837904Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5838434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5838967Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5839487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.5839936Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.5840108Z 
2025-08-26T20:54:06.5840227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5840598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5840924Z     return mod(**inputs)
2025-08-26T20:54:06.5841326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5841736Z     outputs = self.albert(
2025-08-26T20:54:06.5842112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5842574Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5842974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5843422Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5843860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5844420Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5844938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5845348Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5845768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5846176Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5846582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.5846991Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.5847137Z 
2025-08-26T20:54:06.5847244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5847620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5847964Z     return mod(**inputs)
2025-08-26T20:54:06.5848352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5848749Z     outputs = self.albert(
2025-08-26T20:54:06.5849129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5849536Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5849965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5850382Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5850801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5851316Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5851863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5852259Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5852758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5853171Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5853587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.5854004Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.5854359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.5854817Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.5855060Z 
2025-08-26T20:54:06.5855167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5855530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5855874Z     return mod(**inputs)
2025-08-26T20:54:06.5856239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5856612Z     outputs = self.albert(
2025-08-26T20:54:06.5856998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5857404Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5857805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5858246Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5858723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5859226Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5859740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5860133Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5860530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5860921Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5861313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.5861713Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.5861848Z 
2025-08-26T20:54:06.5861959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5862306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5862622Z     return mod(**inputs)
2025-08-26T20:54:06.5862984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5863364Z     outputs = self.albert(
2025-08-26T20:54:06.5863725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5864143Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5864523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5864941Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5865359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5865874Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5866403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5866931Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5867461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.5867870Z     self.query(hidden_states)
2025-08-26T20:54:06.5867988Z 
2025-08-26T20:54:06.5868103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5868470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5868804Z     return mod(**inputs)
2025-08-26T20:54:06.5869193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5869607Z     outputs = self.albert(
2025-08-26T20:54:06.5869993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5870432Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5870842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5871298Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5871751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5872295Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5872949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5873541Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5874086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.5874490Z     self.key(hidden_states)
2025-08-26T20:54:06.5874608Z 
2025-08-26T20:54:06.5874716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5875100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5875410Z     return mod(**inputs)
2025-08-26T20:54:06.5875768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5876145Z     outputs = self.albert(
2025-08-26T20:54:06.5876499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5876882Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5877255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5877675Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5878091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5878689Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5879193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5879732Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5880247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.5880618Z     self.value(hidden_states)
2025-08-26T20:54:06.5880738Z 
2025-08-26T20:54:06.5880817Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5881054Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5881402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5881711Z     return mod(**inputs)
2025-08-26T20:54:06.5882065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5882437Z     outputs = self.albert(
2025-08-26T20:54:06.5882793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5883177Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5883543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5883960Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5884375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5884898Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5885407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5885899Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5886392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.5886842Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.5887042Z 
2025-08-26T20:54:06.5887171Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5887542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5887877Z     return mod(**inputs)
2025-08-26T20:54:06.5888237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5888616Z     outputs = self.albert(
2025-08-26T20:54:06.5888978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5889361Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5889730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5890150Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5890567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5891067Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5891568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5892057Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5892587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.5893006Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.5893165Z 
2025-08-26T20:54:06.5893277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5893622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5893930Z     return mod(**inputs)
2025-08-26T20:54:06.5894289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5894666Z     outputs = self.albert(
2025-08-26T20:54:06.5895023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5895395Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5895773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5896194Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5896613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5897117Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5897615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5898003Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5898395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5898803Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5899191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.5899584Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.5899725Z 
2025-08-26T20:54:06.5899830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5900185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5900499Z     return mod(**inputs)
2025-08-26T20:54:06.5900857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5901271Z     outputs = self.albert(
2025-08-26T20:54:06.5901629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5902012Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5902391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5902801Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5903222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5903716Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5904217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5904605Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5904992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5905383Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5905768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.5906170Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.5906573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.5907044Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.5907300Z 
2025-08-26T20:54:06.5907414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5907798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5908146Z     return mod(**inputs)
2025-08-26T20:54:06.5908562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5908990Z     outputs = self.albert(
2025-08-26T20:54:06.5909393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5909817Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5910246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5910727Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5911199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5911761Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5912346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5912913Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5913345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5913772Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5914219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.5914823Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.5914964Z 
2025-08-26T20:54:06.5915075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5915434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5915756Z     return mod(**inputs)
2025-08-26T20:54:06.5916189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5916606Z     outputs = self.albert(
2025-08-26T20:54:06.5917003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5917411Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5917875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5918330Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5918773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5919310Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5919841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5920373Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5920902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.5921304Z     self.query(hidden_states)
2025-08-26T20:54:06.5921422Z 
2025-08-26T20:54:06.5921535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5921960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5922297Z     return mod(**inputs)
2025-08-26T20:54:06.5922676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5923088Z     outputs = self.albert(
2025-08-26T20:54:06.5923461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5923864Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5924261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5924716Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5925162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5925691Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5926230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5926764Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5927290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.5927691Z     self.key(hidden_states)
2025-08-26T20:54:06.5927808Z 
2025-08-26T20:54:06.5927950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5928321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5928655Z     return mod(**inputs)
2025-08-26T20:54:06.5929038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5929439Z     outputs = self.albert(
2025-08-26T20:54:06.5929813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5930230Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5930630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5931098Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5931531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5932067Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5932602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5933132Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5933657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.5934073Z     self.value(hidden_states)
2025-08-26T20:54:06.5934201Z 
2025-08-26T20:54:06.5934285Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.5934538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5934913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5935252Z     return mod(**inputs)
2025-08-26T20:54:06.5935622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5936007Z     outputs = self.albert(
2025-08-26T20:54:06.5936431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5936842Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5937239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5937685Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5938127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5938623Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5939124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5939627Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5940146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.5940632Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.5940848Z 
2025-08-26T20:54:06.5940969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5941328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5941645Z     return mod(**inputs)
2025-08-26T20:54:06.5942016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5942400Z     outputs = self.albert(
2025-08-26T20:54:06.5942791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5943195Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5943587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5944015Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5944435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5944941Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5945521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5946050Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5946577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.5947023Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.5947192Z 
2025-08-26T20:54:06.5947308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5947680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5964210Z     return mod(**inputs)
2025-08-26T20:54:06.5964826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5965282Z     outputs = self.albert(
2025-08-26T20:54:06.5965721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5966162Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5966603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5967070Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5967562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5968258Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5968854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5969310Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5969760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5970193Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5970622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.5971060Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.5971212Z 
2025-08-26T20:54:06.5971332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5971735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5972089Z     return mod(**inputs)
2025-08-26T20:54:06.5972485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5972903Z     outputs = self.albert(
2025-08-26T20:54:06.5973291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5973712Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5974122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5974604Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5975043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5975573Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5976109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5976523Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5976938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5977385Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5977793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.5978223Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.5978600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.5979086Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.5979334Z 
2025-08-26T20:54:06.5979457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5979836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5980176Z     return mod(**inputs)
2025-08-26T20:54:06.5980566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5980980Z     outputs = self.albert(
2025-08-26T20:54:06.5981367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5981792Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5982210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5982671Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5983165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5983717Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5984268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.5984699Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.5985118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.5985529Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.5985942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.5986379Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.5986534Z 
2025-08-26T20:54:06.5986649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5987040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5987379Z     return mod(**inputs)
2025-08-26T20:54:06.5987775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5988195Z     outputs = self.albert(
2025-08-26T20:54:06.5988595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5989018Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5989450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5989912Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5990366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5990924Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5991477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5992018Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5992670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.5993107Z     self.query(hidden_states)
2025-08-26T20:54:06.5993238Z 
2025-08-26T20:54:06.5993360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.5993751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.5994088Z     return mod(**inputs)
2025-08-26T20:54:06.5994486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.5994900Z     outputs = self.albert(
2025-08-26T20:54:06.5995296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.5995707Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.5996124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.5996585Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.5997044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.5997601Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.5998188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.5998740Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.5999285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.5999698Z     self.key(hidden_states)
2025-08-26T20:54:06.5999819Z 
2025-08-26T20:54:06.5999942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6000327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6000681Z     return mod(**inputs)
2025-08-26T20:54:06.6001078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6001494Z     outputs = self.albert(
2025-08-26T20:54:06.6001890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6002310Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6002725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6003190Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6003633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6004174Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6004704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6005256Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6005789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.6006194Z     self.value(hidden_states)
2025-08-26T20:54:06.6006314Z 
2025-08-26T20:54:06.6006407Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.6006654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6007033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6007370Z     return mod(**inputs)
2025-08-26T20:54:06.6007795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6008193Z     outputs = self.albert(
2025-08-26T20:54:06.6008583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6008994Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6009397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6009860Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6010301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6010855Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6011403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6011950Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6012485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.6012966Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.6013188Z 
2025-08-26T20:54:06.6013337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6013718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6014065Z     return mod(**inputs)
2025-08-26T20:54:06.6014720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6015125Z     outputs = self.albert(
2025-08-26T20:54:06.6015526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6015944Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6016363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6016801Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6017252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6017793Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6018329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6018859Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6019376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.6019796Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.6020043Z 
2025-08-26T20:54:06.6020151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6020530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6020846Z     return mod(**inputs)
2025-08-26T20:54:06.6021199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6021582Z     outputs = self.albert(
2025-08-26T20:54:06.6021960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6022365Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6022769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6023249Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6023696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6024207Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6024718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6025114Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6025506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6025901Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6026294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.6026698Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.6026841Z 
2025-08-26T20:54:06.6026962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6027335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6027677Z     return mod(**inputs)
2025-08-26T20:54:06.6028060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6028517Z     outputs = self.albert(
2025-08-26T20:54:06.6028892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6029309Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6029710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6030156Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6030602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6031130Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6031665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6032092Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6032522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6033020Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6033451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.6033905Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.6034351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.6034826Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.6035054Z 
2025-08-26T20:54:06.6035167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6035518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6035841Z     return mod(**inputs)
2025-08-26T20:54:06.6036212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6036627Z     outputs = self.albert(
2025-08-26T20:54:06.6037001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6037403Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6037788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6038217Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6038640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6039143Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6039662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6040071Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6040492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6040904Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6041327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.6041766Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.6041920Z 
2025-08-26T20:54:06.6042030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6042404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6042736Z     return mod(**inputs)
2025-08-26T20:54:06.6043150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6043558Z     outputs = self.albert(
2025-08-26T20:54:06.6043939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6044347Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6044756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6045205Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6045653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6046195Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6046724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6047261Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6047792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.6048205Z     self.query(hidden_states)
2025-08-26T20:54:06.6048330Z 
2025-08-26T20:54:06.6048445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6048811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6049169Z     return mod(**inputs)
2025-08-26T20:54:06.6049552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6049956Z     outputs = self.albert(
2025-08-26T20:54:06.6050341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6050753Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6051171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6051598Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6052027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6052550Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6053061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6053566Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6054069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.6054456Z     self.key(hidden_states)
2025-08-26T20:54:06.6054569Z 
2025-08-26T20:54:06.6054671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6055032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6055351Z     return mod(**inputs)
2025-08-26T20:54:06.6055720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6056120Z     outputs = self.albert(
2025-08-26T20:54:06.6056503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6056912Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6057315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6057803Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6058229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6058733Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6059237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6059731Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6060223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.6060599Z     self.value(hidden_states)
2025-08-26T20:54:06.6060710Z 
2025-08-26T20:54:06.6060790Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.6061038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6061411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6061744Z     return mod(**inputs)
2025-08-26T20:54:06.6062095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6062474Z     outputs = self.albert(
2025-08-26T20:54:06.6062836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6063214Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6063633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6064048Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6064471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6064978Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6065480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6065977Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6066485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.6066980Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.6067197Z 
2025-08-26T20:54:06.6067306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6067682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6068012Z     return mod(**inputs)
2025-08-26T20:54:06.6068388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6068787Z     outputs = self.albert(
2025-08-26T20:54:06.6069170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6069586Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6069979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6070436Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6070879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6071422Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6072024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6072558Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6073195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.6073667Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.6073861Z 
2025-08-26T20:54:06.6073979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6074356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6074688Z     return mod(**inputs)
2025-08-26T20:54:06.6075072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6075478Z     outputs = self.albert(
2025-08-26T20:54:06.6075868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6076279Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6076676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6077127Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6077577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6078112Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6078662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6079070Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6079491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6079904Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6080312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.6080723Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.6080872Z 
2025-08-26T20:54:06.6080982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6081380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6081716Z     return mod(**inputs)
2025-08-26T20:54:06.6082098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6082495Z     outputs = self.albert(
2025-08-26T20:54:06.6082877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6083285Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6083688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6084130Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6084562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6085097Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6085630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6086046Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6086464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6086906Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6087317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.6087738Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.6088113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.6088579Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.6088827Z 
2025-08-26T20:54:06.6088936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6089313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6089649Z     return mod(**inputs)
2025-08-26T20:54:06.6090029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6090430Z     outputs = self.albert(
2025-08-26T20:54:06.6090813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6091221Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6091618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6092065Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6092503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6093060Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6093593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6094016Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6094431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6094835Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6095257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.6095703Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.6095877Z 
2025-08-26T20:54:06.6096004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6096398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6096770Z     return mod(**inputs)
2025-08-26T20:54:06.6097186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6097595Z     outputs = self.albert(
2025-08-26T20:54:06.6097998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6098415Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6098849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6099326Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6099793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6100368Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6100947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6101506Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6102151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.6102579Z     self.query(hidden_states)
2025-08-26T20:54:06.6102702Z 
2025-08-26T20:54:06.6102820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6103213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6103571Z     return mod(**inputs)
2025-08-26T20:54:06.6103968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6104379Z     outputs = self.albert(
2025-08-26T20:54:06.6104775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6105201Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6105625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6106079Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6106529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6107090Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6107641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6108191Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6108747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.6109170Z     self.key(hidden_states)
2025-08-26T20:54:06.6109297Z 
2025-08-26T20:54:06.6109408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6109797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6110134Z     return mod(**inputs)
2025-08-26T20:54:06.6110552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6110970Z     outputs = self.albert(
2025-08-26T20:54:06.6111390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6111820Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6112223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6112772Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6113265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6113837Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6114543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6115091Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6115620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.6116031Z     self.value(hidden_states)
2025-08-26T20:54:06.6116154Z 
2025-08-26T20:54:06.6116252Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.6116515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6116902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6117236Z     return mod(**inputs)
2025-08-26T20:54:06.6117730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6118134Z     outputs = self.albert(
2025-08-26T20:54:06.6118511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6118917Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6119320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6119765Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6120210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6120738Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6121279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6121809Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6122331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.6122813Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.6123019Z 
2025-08-26T20:54:06.6123127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6123505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6123870Z     return mod(**inputs)
2025-08-26T20:54:06.6124255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6124654Z     outputs = self.albert(
2025-08-26T20:54:06.6125031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6125435Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6125832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6126278Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6126758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6127294Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6127839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6128371Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6128903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.6129351Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.6129526Z 
2025-08-26T20:54:06.6129641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6130025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6130366Z     return mod(**inputs)
2025-08-26T20:54:06.6130751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6131153Z     outputs = self.albert(
2025-08-26T20:54:06.6131544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6131952Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6132402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6132846Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6133283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6133813Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6134347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6134762Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6135195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6135610Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6136035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.6136141Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.6136145Z 
2025-08-26T20:54:06.6136253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6136457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6136532Z     return mod(**inputs)
2025-08-26T20:54:06.6136799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6136876Z     outputs = self.albert(
2025-08-26T20:54:06.6137167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6137243Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6137512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6137630Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6137901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6138104Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6138374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6138483Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6138752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6138844Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6139111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.6139214Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.6139437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.6139635Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.6139639Z 
2025-08-26T20:54:06.6139750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6139956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6140033Z     return mod(**inputs)
2025-08-26T20:54:06.6140298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6140378Z     outputs = self.albert(
2025-08-26T20:54:06.6140639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6140715Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6141033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6141150Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6141417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6141619Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6141887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6141971Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6142239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6142326Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6142598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.6142694Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.6142697Z 
2025-08-26T20:54:06.6142805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6143011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6143087Z     return mod(**inputs)
2025-08-26T20:54:06.6143350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6143447Z     outputs = self.albert(
2025-08-26T20:54:06.6143711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6143795Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6144061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6144176Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6144448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6144650Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6144947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6145145Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6145417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.6145500Z     self.query(hidden_states)
2025-08-26T20:54:06.6145504Z 
2025-08-26T20:54:06.6145617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6145833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6145901Z     return mod(**inputs)
2025-08-26T20:54:06.6146178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6146247Z     outputs = self.albert(
2025-08-26T20:54:06.6146520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6146606Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6146877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6146998Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6148377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6148591Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6148870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6149070Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6149348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.6149424Z     self.key(hidden_states)
2025-08-26T20:54:06.6149428Z 
2025-08-26T20:54:06.6149544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6149752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6149820Z     return mod(**inputs)
2025-08-26T20:54:06.6150101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6150171Z     outputs = self.albert(
2025-08-26T20:54:06.6150446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6150521Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6150788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6150913Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6151206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6151421Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6151694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6151900Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6152170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.6152241Z     self.value(hidden_states)
2025-08-26T20:54:06.6152267Z 
2025-08-26T20:54:06.6152363Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.6152472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6152770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6152850Z     return mod(**inputs)
2025-08-26T20:54:06.6153126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6153203Z     outputs = self.albert(
2025-08-26T20:54:06.6153479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6153566Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6153839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6153964Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6154240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6154449Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6154736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6154935Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6155282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.6155441Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.6155445Z 
2025-08-26T20:54:06.6155562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6155771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6155842Z     return mod(**inputs)
2025-08-26T20:54:06.6156123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6156198Z     outputs = self.albert(
2025-08-26T20:54:06.6156475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6156551Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6156824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6156947Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6157217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6157428Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6157703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6157934Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6158203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.6158320Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.6158324Z 
2025-08-26T20:54:06.6158446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6158658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6158734Z     return mod(**inputs)
2025-08-26T20:54:06.6159009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6159104Z     outputs = self.albert(
2025-08-26T20:54:06.6159385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6159465Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6159741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6159858Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6160137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6160344Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6160616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6160711Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6160988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6161076Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6161355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.6161441Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.6161452Z 
2025-08-26T20:54:06.6161560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6161812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6161891Z     return mod(**inputs)
2025-08-26T20:54:06.6162174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6162250Z     outputs = self.albert(
2025-08-26T20:54:06.6162513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6162591Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6162863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6162976Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6163249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6163450Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6163713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6163804Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6164070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6164157Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6164427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.6164545Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.6164766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.6164957Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.6164961Z 
2025-08-26T20:54:06.6165076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6165279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6165354Z     return mod(**inputs)
2025-08-26T20:54:06.6165618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6165728Z     outputs = self.albert(
2025-08-26T20:54:06.6166003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6166081Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6166348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6166463Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6166731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6166932Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6167194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6167287Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6167555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6167641Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6167910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.6167996Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.6168008Z 
2025-08-26T20:54:06.6168151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6168356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6168429Z     return mod(**inputs)
2025-08-26T20:54:06.6168696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6168771Z     outputs = self.albert(
2025-08-26T20:54:06.6169036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6169111Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6169382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6169495Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6169769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6169971Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6170235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6170438Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6170705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.6170804Z     self.query(hidden_states)
2025-08-26T20:54:06.6170808Z 
2025-08-26T20:54:06.6170914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6171125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6171191Z     return mod(**inputs)
2025-08-26T20:54:06.6171457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6171534Z     outputs = self.albert(
2025-08-26T20:54:06.6171796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6171877Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6172157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6172270Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6172540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6172739Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6173012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6173205Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6173473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.6173544Z     self.key(hidden_states)
2025-08-26T20:54:06.6173550Z 
2025-08-26T20:54:06.6173655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6173864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6173930Z     return mod(**inputs)
2025-08-26T20:54:06.6174203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6174270Z     outputs = self.albert(
2025-08-26T20:54:06.6174581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6174657Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6174922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6175047Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6175311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6175523Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6175795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6176002Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6176266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.6176333Z     self.value(hidden_states)
2025-08-26T20:54:06.6176337Z 
2025-08-26T20:54:06.6176424Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.6176525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6176731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6176799Z     return mod(**inputs)
2025-08-26T20:54:06.6177068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6177165Z     outputs = self.albert(
2025-08-26T20:54:06.6177431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6177506Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6177757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6177863Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6178120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6178309Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6178595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6178778Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6179033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.6179180Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.6179187Z 
2025-08-26T20:54:06.6179313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6179514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6179588Z     return mod(**inputs)
2025-08-26T20:54:06.6179850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6179927Z     outputs = self.albert(
2025-08-26T20:54:06.6180189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6180265Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6180533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6180644Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6180952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6181161Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6181416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6181601Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6181849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.6181967Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.6181970Z 
2025-08-26T20:54:06.6182070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6182267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6182335Z     return mod(**inputs)
2025-08-26T20:54:06.6182597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6182674Z     outputs = self.albert(
2025-08-26T20:54:06.6182937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6183022Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6183285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6183423Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6183686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6183874Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6184134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6184213Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6184471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6184547Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6184821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.6184910Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.6184915Z 
2025-08-26T20:54:06.6185015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6185215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6185277Z     return mod(**inputs)
2025-08-26T20:54:06.6185538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6185603Z     outputs = self.albert(
2025-08-26T20:54:06.6185855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6185930Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6186182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6186296Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6186547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6186738Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6187033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6187112Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6187376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6187455Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6187749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.6187839Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.6188071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.6188268Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.6188272Z 
2025-08-26T20:54:06.6188376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6188595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6188661Z     return mod(**inputs)
2025-08-26T20:54:06.6188947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6189022Z     outputs = self.albert(
2025-08-26T20:54:06.6189284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6189369Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6189653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6189797Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6190075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6190289Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6190580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6190662Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6190937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6191035Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6191312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.6191408Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.6191412Z 
2025-08-26T20:54:06.6191516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6191726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6191797Z     return mod(**inputs)
2025-08-26T20:54:06.6192076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6192144Z     outputs = self.albert(
2025-08-26T20:54:06.6192415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6192500Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6192849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6192980Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6193265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6193481Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6193821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6194033Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6194304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.6194380Z     self.query(hidden_states)
2025-08-26T20:54:06.6194384Z 
2025-08-26T20:54:06.6194502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6194719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6194790Z     return mod(**inputs)
2025-08-26T20:54:06.6195075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6195145Z     outputs = self.albert(
2025-08-26T20:54:06.6195428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6195503Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6195779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6195899Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6196175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6196384Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6196680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6196884Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6197162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.6197232Z     self.key(hidden_states)
2025-08-26T20:54:06.6197245Z 
2025-08-26T20:54:06.6197349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6197562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6197656Z     return mod(**inputs)
2025-08-26T20:54:06.6197940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6198017Z     outputs = self.albert(
2025-08-26T20:54:06.6198299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6198373Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6198645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6198759Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6199030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6199242Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6199528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6199729Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6200013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.6200093Z     self.value(hidden_states)
2025-08-26T20:54:06.6200096Z 
2025-08-26T20:54:06.6200216Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.6200332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6200534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6200600Z     return mod(**inputs)
2025-08-26T20:54:06.6200871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6200943Z     outputs = self.albert(
2025-08-26T20:54:06.6201221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6201296Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6201568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6201691Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6201955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6202160Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6202435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6202637Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6202912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.6203098Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.6203102Z 
2025-08-26T20:54:06.6203215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6203418Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6203496Z     return mod(**inputs)
2025-08-26T20:54:06.6203763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6203830Z     outputs = self.albert(
2025-08-26T20:54:06.6204099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6204193Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6204463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6204576Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6204859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6205058Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6205336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6205539Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6205813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.6205933Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.6205937Z 
2025-08-26T20:54:06.6206040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6206250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6206315Z     return mod(**inputs)
2025-08-26T20:54:06.6206580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6206658Z     outputs = self.albert(
2025-08-26T20:54:06.6206960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6207042Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6207303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6207416Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6207693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6207901Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6208179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6208263Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6208542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6208621Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6208891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.6208983Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.6208988Z 
2025-08-26T20:54:06.6209094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6209304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6209394Z     return mod(**inputs)
2025-08-26T20:54:06.6209658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6209735Z     outputs = self.albert(
2025-08-26T20:54:06.6210002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6210083Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6210347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6210466Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6210727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6210948Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6211222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6211305Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6211582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6211662Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6211930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.6212025Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.6212243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.6212437Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.6212444Z 
2025-08-26T20:54:06.6212551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6212763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6212830Z     return mod(**inputs)
2025-08-26T20:54:06.6213133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6213212Z     outputs = self.albert(
2025-08-26T20:54:06.6213473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6213570Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6213835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6213950Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6214225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6214568Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6214839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6214924Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6215187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6215265Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6215530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.6215629Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.6215633Z 
2025-08-26T20:54:06.6215740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6215998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6216066Z     return mod(**inputs)
2025-08-26T20:54:06.6216335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6216411Z     outputs = self.albert(
2025-08-26T20:54:06.6216683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6216766Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6217035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6217187Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6217454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6217658Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6217928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6218126Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6218400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:54:06.6218472Z     self.query(hidden_states)
2025-08-26T20:54:06.6218476Z 
2025-08-26T20:54:06.6218591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6218792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6218859Z     return mod(**inputs)
2025-08-26T20:54:06.6219129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6219200Z     outputs = self.albert(
2025-08-26T20:54:06.6219470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6219542Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6219861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6219983Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6220250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6220458Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6220726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6220923Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6221198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:54:06.6221267Z     self.key(hidden_states)
2025-08-26T20:54:06.6221271Z 
2025-08-26T20:54:06.6221388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6221589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6221661Z     return mod(**inputs)
2025-08-26T20:54:06.6221926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6221996Z     outputs = self.albert(
2025-08-26T20:54:06.6222269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6222364Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6222632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6222743Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6223006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6223213Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6223476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6223683Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6223971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:54:06.6224053Z     self.value(hidden_states)
2025-08-26T20:54:06.6224057Z 
2025-08-26T20:54:06.6224141Z cudagraph partition due to non gpu ops
2025-08-26T20:54:06.6224245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6224466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6224531Z     return mod(**inputs)
2025-08-26T20:54:06.6224787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6224853Z     outputs = self.albert(
2025-08-26T20:54:06.6225099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6225178Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6225423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6225537Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6225796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6226003Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6226320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6226515Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6226788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:54:06.6226942Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:06.6226946Z 
2025-08-26T20:54:06.6227059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6227262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6227337Z     return mod(**inputs)
2025-08-26T20:54:06.6227600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6227670Z     outputs = self.albert(
2025-08-26T20:54:06.6227939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6228014Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6228283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6228395Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6228656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6228893Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6229162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:54:06.6229372Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:54:06.6229642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:54:06.6229765Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:54:06.6229769Z 
2025-08-26T20:54:06.6229877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6230106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6230183Z     return mod(**inputs)
2025-08-26T20:54:06.6230451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6230530Z     outputs = self.albert(
2025-08-26T20:54:06.6230798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6230872Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6231150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6231265Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6231541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6231748Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6232027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6232116Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6232390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6232480Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6232878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:54:06.6232976Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:54:06.6232980Z 
2025-08-26T20:54:06.6233087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6233301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6233372Z     return mod(**inputs)
2025-08-26T20:54:06.6233644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6233726Z     outputs = self.albert(
2025-08-26T20:54:06.6233998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6234081Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6234354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6234469Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6234745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6234953Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6235232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6235317Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6235614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6235704Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6235982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:54:06.6236082Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:54:06.6236305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:54:06.6236503Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:54:06.6236507Z 
2025-08-26T20:54:06.6236642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6236851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6236930Z     return mod(**inputs)
2025-08-26T20:54:06.6237204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:54:06.6237279Z     outputs = self.albert(
2025-08-26T20:54:06.6237556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:54:06.6237632Z     encoder_outputs = self.encoder(
2025-08-26T20:54:06.6237911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:54:06.6238026Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:54:06.6238303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:54:06.6238513Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:54:06.6238794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:54:06.6238879Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:54:06.6239156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:06.6239282Z     return forward_fn(*input_tensors)
2025-08-26T20:54:06.6239560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:54:06.6239653Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:54:06.6239656Z 
2025-08-26T20:54:06.6239765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6239984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6240051Z     return mod(**inputs)
2025-08-26T20:54:06.6240321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 984, in forward
2025-08-26T20:54:06.6240456Z     prediction_scores = self.predictions(sequence_outputs)
2025-08-26T20:54:06.6240743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 866, in forward
2025-08-26T20:54:06.6240845Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:06.6240849Z 
2025-08-26T20:54:06.6240954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:06.6241163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:06.6241239Z     return mod(**inputs)
2025-08-26T20:54:06.6241524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 984, in forward
2025-08-26T20:54:06.6241658Z     prediction_scores = self.predictions(sequence_outputs)
2025-08-26T20:54:06.6241944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 869, in forward
2025-08-26T20:54:06.6242068Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:54:06.6242079Z 
2025-08-26T20:54:15.9950041Z Compilation time (from dynamo_timed): 23.068164523
2025-08-26T20:54:15.9950350Z pass
2025-08-26T20:54:15.9950685Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:15.9951526Z TIMING: _recursive_pre_grad_passes:0.00766 _recursive_joint_graph_passes:0.49461 _recursive_post_grad_passes:0.08267 async_compile.wait:0.7871 code_gen:8.06689 inductor_compile:11.24594 backend_compile:18.83589 gc:0.00201 entire_frame_compile:23.06816 total_wall_time:23.06816
2025-08-26T20:54:15.9953037Z STATS: call_* op count: 367 | FakeTensorMode.__torch_dispatch__:11427 | attempt fast:81 | fast is_contiguous:77 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:4408 | ProxyTorchDispatchMode.__torch_dispatch__:3918
2025-08-26T20:54:15.9954027Z Dynamo produced 1 graphs covering 367 ops with 0 graph breaks (0 unique)
2025-08-26T20:54:20.9289354Z 
2025-08-26T20:54:21.5905408Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:54:21.5905672Z 
2025-08-26T20:54:21.5906060Z config.json: 0.00B [00:00, ?B/s]
2025-08-26T20:54:21.5906295Z config.json: 1.72kB [00:00, 10.4MB/s]
2025-08-26T20:54:25.0997014Z 
2025-08-26T20:54:25.1000824Z loading model: 0it [00:04, ?it/s]
2025-08-26T20:54:25.1013359Z cpu  eval  hf_Bart                            
2025-08-26T20:54:26.8824645Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:27.7155725Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:28.5284146Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:50.1083138Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1086379Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1087411Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1093228Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1093525Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1094087Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1094402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1095299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1095663Z     return mod(**inputs)
2025-08-26T20:54:50.1096090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1096530Z     outputs = self.model(
2025-08-26T20:54:50.1096976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1097406Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1097870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1098333Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1098743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1099154Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1099581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1100039Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1100506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1101026Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1101245Z 
2025-08-26T20:54:50.1101368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1101794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1102272Z     return mod(**inputs)
2025-08-26T20:54:50.1102688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1103123Z     outputs = self.model(
2025-08-26T20:54:50.1103534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1103975Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1104447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1104904Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1105359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1105755Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1106184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1106624Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1107050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1107480Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1107626Z 
2025-08-26T20:54:50.1107740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1108140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1108500Z     return mod(**inputs)
2025-08-26T20:54:50.1108905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1109317Z     outputs = self.model(
2025-08-26T20:54:50.1109713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1110156Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1110558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1110967Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1111441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1111843Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1112260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1113022Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1113472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1113913Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1114078Z 
2025-08-26T20:54:50.1114171Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1114391Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1114986Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1115206Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1115455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1115849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1116182Z     return mod(**inputs)
2025-08-26T20:54:50.1116538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1116943Z     outputs = self.model(
2025-08-26T20:54:50.1117312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1117721Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1118112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1118562Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1118924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1119309Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1119705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1120129Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1120541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1121004Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1121472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1121982Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1122176Z 
2025-08-26T20:54:50.1122281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1122635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1122953Z     return mod(**inputs)
2025-08-26T20:54:50.1123318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1123712Z     outputs = self.model(
2025-08-26T20:54:50.1124090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1124502Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1124893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1125300Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1125669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1126035Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1126468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1126854Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1127247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1127670Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1128133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1128609Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1128786Z 
2025-08-26T20:54:50.1128899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1129278Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1129621Z     return mod(**inputs)
2025-08-26T20:54:50.1130001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1130431Z     outputs = self.model(
2025-08-26T20:54:50.1130813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1131213Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1131611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1132008Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1132364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1132782Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1133206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1133619Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1134028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1134432Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1134583Z 
2025-08-26T20:54:50.1134693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1135065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1136265Z     return mod(**inputs)
2025-08-26T20:54:50.1136635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1137033Z     outputs = self.model(
2025-08-26T20:54:50.1137409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1137817Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1138218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1138612Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1138983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1139363Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1139777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1140241Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1140430Z 
2025-08-26T20:54:50.1140539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1140919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1141261Z     return mod(**inputs)
2025-08-26T20:54:50.1141637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1142024Z     outputs = self.model(
2025-08-26T20:54:50.1142442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1142845Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1143241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1143653Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1144030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1144428Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1144849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1145298Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1145706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1146074Z     return self.act(input)
2025-08-26T20:54:50.1146203Z 
2025-08-26T20:54:50.1146315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1146706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1147059Z     return mod(**inputs)
2025-08-26T20:54:50.1147449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1147871Z     outputs = self.model(
2025-08-26T20:54:50.1148263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1148702Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1149084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1149482Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1149851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1150239Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1150650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:54:50.1151061Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1151266Z 
2025-08-26T20:54:50.1151380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1151761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1152116Z     return mod(**inputs)
2025-08-26T20:54:50.1152505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1153145Z     outputs = self.model(
2025-08-26T20:54:50.1153539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1153949Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1154350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1154748Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1155126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1155521Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1155942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1156371Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1156787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1157321Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1157556Z 
2025-08-26T20:54:50.1157672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1158063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1158434Z     return mod(**inputs)
2025-08-26T20:54:50.1158817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1159230Z     outputs = self.model(
2025-08-26T20:54:50.1159616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1160043Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1160428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1160832Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1161181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1161542Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1161924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1162345Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1162762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1163180Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1163344Z 
2025-08-26T20:54:50.1163462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1163837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1164234Z     return mod(**inputs)
2025-08-26T20:54:50.1164599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1164975Z     outputs = self.model(
2025-08-26T20:54:50.1165328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1165699Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1166070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1166471Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1166819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1167178Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1167546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1167935Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1168323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1168710Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1168858Z 
2025-08-26T20:54:50.1168943Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1169166Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1169387Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1169607Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1169848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1170223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1170577Z     return mod(**inputs)
2025-08-26T20:54:50.1170951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1171323Z     outputs = self.model(
2025-08-26T20:54:50.1171725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1172137Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1172535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1172939Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1173323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1173723Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1174109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1174519Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1174946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1175368Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1175819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1176305Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1176491Z 
2025-08-26T20:54:50.1176606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1176990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1177308Z     return mod(**inputs)
2025-08-26T20:54:50.1177672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1178068Z     outputs = self.model(
2025-08-26T20:54:50.1178427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1178826Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1179217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1179622Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1179991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1180381Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1180797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1181210Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1181626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1182062Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1182533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1183007Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1183185Z 
2025-08-26T20:54:50.1183294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1183665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1184007Z     return mod(**inputs)
2025-08-26T20:54:50.1184383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1184782Z     outputs = self.model(
2025-08-26T20:54:50.1185156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1185565Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1185952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1186394Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1186762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1187145Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1187545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1187965Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1188374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1188783Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1188934Z 
2025-08-26T20:54:50.1189043Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1189419Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1189756Z     return mod(**inputs)
2025-08-26T20:54:50.1190129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1190524Z     outputs = self.model(
2025-08-26T20:54:50.1190900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1191300Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1191688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1192088Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1192483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1192955Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1193373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1193840Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1194036Z 
2025-08-26T20:54:50.1194151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1194544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1194884Z     return mod(**inputs)
2025-08-26T20:54:50.1195261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1195686Z     outputs = self.model(
2025-08-26T20:54:50.1196062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1196464Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1196865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1197266Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1197645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1198036Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1198443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1198898Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1199306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1199679Z     return self.act(input)
2025-08-26T20:54:50.1199808Z 
2025-08-26T20:54:50.1199922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1200300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1200643Z     return mod(**inputs)
2025-08-26T20:54:50.1201044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1201413Z     outputs = self.model(
2025-08-26T20:54:50.1201772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1202180Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1202561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1202957Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1203321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1203695Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1204061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:54:50.1204445Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1204587Z 
2025-08-26T20:54:50.1204694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1205044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1205361Z     return mod(**inputs)
2025-08-26T20:54:50.1205705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1206075Z     outputs = self.model(
2025-08-26T20:54:50.1206424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1206820Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1207190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1207556Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1207902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1208259Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1208636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1209026Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1209418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1209893Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1210094Z 
2025-08-26T20:54:50.1210209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1210564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1210873Z     return mod(**inputs)
2025-08-26T20:54:50.1211233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1211609Z     outputs = self.model(
2025-08-26T20:54:50.1211964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1212340Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1212719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1213130Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1213503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1213884Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1214274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1214895Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1215369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1215759Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1215900Z 
2025-08-26T20:54:50.1216016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1216381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1216725Z     return mod(**inputs)
2025-08-26T20:54:50.1217104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1217495Z     outputs = self.model(
2025-08-26T20:54:50.1217884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1218300Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1218688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1219089Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1219453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1219829Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1220226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1220647Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1221060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1221507Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1221655Z 
2025-08-26T20:54:50.1221738Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1221962Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1222179Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1222397Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1222638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1223012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1223350Z     return mod(**inputs)
2025-08-26T20:54:50.1223724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1224169Z     outputs = self.model(
2025-08-26T20:54:50.1224538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1224944Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1225338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1225749Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1226117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1226501Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1226903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1227339Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1227760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1228181Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1228652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1229159Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1229352Z 
2025-08-26T20:54:50.1229467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1229880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1230216Z     return mod(**inputs)
2025-08-26T20:54:50.1230597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1230996Z     outputs = self.model(
2025-08-26T20:54:50.1231372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1231770Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1232176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1232660Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1233059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1233467Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1233889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1234325Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1234766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1235292Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1235775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1236261Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1236475Z 
2025-08-26T20:54:50.1236587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1236980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1237338Z     return mod(**inputs)
2025-08-26T20:54:50.1237728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1238142Z     outputs = self.model(
2025-08-26T20:54:50.1238534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1238957Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1239383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1239783Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1240165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1240564Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1241035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1241425Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1241822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1242205Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1242339Z 
2025-08-26T20:54:50.1242449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1242807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1243121Z     return mod(**inputs)
2025-08-26T20:54:50.1243479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1243876Z     outputs = self.model(
2025-08-26T20:54:50.1244255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1244637Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1245039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1245424Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1245790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1246170Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1246542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1246987Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1247184Z 
2025-08-26T20:54:50.1247293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1247660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1247978Z     return mod(**inputs)
2025-08-26T20:54:50.1248325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1248696Z     outputs = self.model(
2025-08-26T20:54:50.1249049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1249426Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1249798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1250166Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1250508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1250892Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1251270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1251683Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1252067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1252404Z     return self.act(input)
2025-08-26T20:54:50.1252512Z 
2025-08-26T20:54:50.1252622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1252970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1253298Z     return mod(**inputs)
2025-08-26T20:54:50.1253652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1254032Z     outputs = self.model(
2025-08-26T20:54:50.1254381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1254756Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1255147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1255541Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1255905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1256278Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1256683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:54:50.1257071Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1257214Z 
2025-08-26T20:54:50.1257316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1257669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1257986Z     return mod(**inputs)
2025-08-26T20:54:50.1258330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1258738Z     outputs = self.model(
2025-08-26T20:54:50.1259099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1259483Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1259851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1260234Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1260579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1260943Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1261323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1261713Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1262120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1262610Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1262824Z 
2025-08-26T20:54:50.1262941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1263312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1263642Z     return mod(**inputs)
2025-08-26T20:54:50.1264024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1264430Z     outputs = self.model(
2025-08-26T20:54:50.1264824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1265181Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1265538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1265900Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1266234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1266589Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1266975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1267415Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1267828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1268241Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1268381Z 
2025-08-26T20:54:50.1268497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1268863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1269198Z     return mod(**inputs)
2025-08-26T20:54:50.1269579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1270099Z     outputs = self.model(
2025-08-26T20:54:50.1270471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1270880Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1271276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1271678Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1272042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1272420Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1272875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1273404Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1273841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1274269Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1274436Z 
2025-08-26T20:54:50.1274529Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1274782Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1274998Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1275208Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1275441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1275807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1276138Z     return mod(**inputs)
2025-08-26T20:54:50.1276505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1276889Z     outputs = self.model(
2025-08-26T20:54:50.1277250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1277638Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1278022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1278414Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1278764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1279160Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1279539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1279938Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1280327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1280726Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1281166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1281645Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1281843Z 
2025-08-26T20:54:50.1281954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1282299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1282629Z     return mod(**inputs)
2025-08-26T20:54:50.1282984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1283358Z     outputs = self.model(
2025-08-26T20:54:50.1283714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1284085Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1284455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1284828Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1285175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1285530Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1285907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1286305Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1286697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1287091Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1287549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1288003Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1288167Z 
2025-08-26T20:54:50.1288272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1288633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1288967Z     return mod(**inputs)
2025-08-26T20:54:50.1289320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1289701Z     outputs = self.model(
2025-08-26T20:54:50.1290061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1290442Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1290814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1291192Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1291541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1291905Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1292290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1292686Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1293081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1293481Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1293617Z 
2025-08-26T20:54:50.1293731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1294092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1294414Z     return mod(**inputs)
2025-08-26T20:54:50.1294774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1295157Z     outputs = self.model(
2025-08-26T20:54:50.1295525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1295913Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1296284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1296667Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1297011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1297368Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1297741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1298163Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1298338Z 
2025-08-26T20:54:50.1298439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1298792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1299118Z     return mod(**inputs)
2025-08-26T20:54:50.1299455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1299825Z     outputs = self.model(
2025-08-26T20:54:50.1300177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1300554Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1300948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1301324Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1301665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1302022Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1302400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1302819Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1303217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1303574Z     return self.act(input)
2025-08-26T20:54:50.1303690Z 
2025-08-26T20:54:50.1303805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1304166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1304502Z     return mod(**inputs)
2025-08-26T20:54:50.1304878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1305282Z     outputs = self.model(
2025-08-26T20:54:50.1305653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1306056Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1306458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1306830Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1307237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1307605Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1307998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:54:50.1308418Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1308562Z 
2025-08-26T20:54:50.1308679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1309054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1309387Z     return mod(**inputs)
2025-08-26T20:54:50.1309765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1310179Z     outputs = self.model(
2025-08-26T20:54:50.1310558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1310960Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1311350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1311751Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1312118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1312503Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1313017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1313474Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1313912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1314606Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1314842Z 
2025-08-26T20:54:50.1314968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1315357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1315713Z     return mod(**inputs)
2025-08-26T20:54:50.1316159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1316620Z     outputs = self.model(
2025-08-26T20:54:50.1317008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1317418Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1317817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1318215Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1318591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1318968Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1319378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1319803Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1320234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1320651Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1320792Z 
2025-08-26T20:54:50.1320904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1321292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1321640Z     return mod(**inputs)
2025-08-26T20:54:50.1322013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1322447Z     outputs = self.model(
2025-08-26T20:54:50.1322813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1323208Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1323602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1323993Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1324358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1324742Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1325183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1325609Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1326019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1326433Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1326589Z 
2025-08-26T20:54:50.1326673Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1326898Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1327119Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1327326Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1327574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1327963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1328288Z     return mod(**inputs)
2025-08-26T20:54:50.1328650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1329019Z     outputs = self.model(
2025-08-26T20:54:50.1329375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1329764Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1330138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1330562Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1330933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1331315Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1331714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1332133Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1332545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1332980Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1333449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1333965Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1334161Z 
2025-08-26T20:54:50.1334289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1334648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1334975Z     return mod(**inputs)
2025-08-26T20:54:50.1335333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1335717Z     outputs = self.model(
2025-08-26T20:54:50.1336076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1336480Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1336897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1337291Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1337654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1338028Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1338409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1338827Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1339242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1339699Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1340162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1340643Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1340820Z 
2025-08-26T20:54:50.1340930Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1341304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1341632Z     return mod(**inputs)
2025-08-26T20:54:50.1342007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1342401Z     outputs = self.model(
2025-08-26T20:54:50.1342779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1343192Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1343587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1343989Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1344355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1344735Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1345214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1345644Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1346071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1346499Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1346645Z 
2025-08-26T20:54:50.1346767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1347145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1347494Z     return mod(**inputs)
2025-08-26T20:54:50.1347887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1348296Z     outputs = self.model(
2025-08-26T20:54:50.1348686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1349090Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1349498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1349917Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1350296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1350682Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1351095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1351577Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1351761Z 
2025-08-26T20:54:50.1351880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1352264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1352684Z     return mod(**inputs)
2025-08-26T20:54:50.1353095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1353502Z     outputs = self.model(
2025-08-26T20:54:50.1353886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1354308Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1354737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1355153Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1355521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1355899Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1356289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1356769Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1357170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1357523Z     return self.act(input)
2025-08-26T20:54:50.1357637Z 
2025-08-26T20:54:50.1357750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1358135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1358482Z     return mod(**inputs)
2025-08-26T20:54:50.1358851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1359251Z     outputs = self.model(
2025-08-26T20:54:50.1359614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1360020Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1360441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1360838Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1361200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1361582Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1361995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:54:50.1362407Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1362554Z 
2025-08-26T20:54:50.1362670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1363052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1363366Z     return mod(**inputs)
2025-08-26T20:54:50.1363724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1364097Z     outputs = self.model(
2025-08-26T20:54:50.1364449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1364817Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1365185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1365561Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1365904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1366285Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1366657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1367050Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1367443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1367891Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1368091Z 
2025-08-26T20:54:50.1368202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1368545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1368889Z     return mod(**inputs)
2025-08-26T20:54:50.1369253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1369637Z     outputs = self.model(
2025-08-26T20:54:50.1369991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1370388Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1370793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1371198Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1371553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1371908Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1372297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1372700Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1373102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1373498Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1373636Z 
2025-08-26T20:54:50.1373744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1374140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1374457Z     return mod(**inputs)
2025-08-26T20:54:50.1374810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1375177Z     outputs = self.model(
2025-08-26T20:54:50.1375538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1375916Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1376286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1376661Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1376999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1377353Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1377730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1378124Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1378506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1378892Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1379039Z 
2025-08-26T20:54:50.1379118Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1379330Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1379540Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1379761Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1379992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1380348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1380666Z     return mod(**inputs)
2025-08-26T20:54:50.1381020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1381410Z     outputs = self.model(
2025-08-26T20:54:50.1381781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1382173Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1382546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1382973Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1383333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1383686Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1384065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1384449Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1384837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1385243Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1385697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1386181Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1386367Z 
2025-08-26T20:54:50.1386476Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1386845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1387189Z     return mod(**inputs)
2025-08-26T20:54:50.1387571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1387973Z     outputs = self.model(
2025-08-26T20:54:50.1388396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1388800Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1389189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1389584Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1389941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1390317Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1390717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1391143Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1391553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1391985Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1392464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1393062Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1393246Z 
2025-08-26T20:54:50.1393367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1393771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1394082Z     return mod(**inputs)
2025-08-26T20:54:50.1394469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1394845Z     outputs = self.model(
2025-08-26T20:54:50.1395206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1395586Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1395959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1396335Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1396684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1397057Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1397430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:54:50.1397833Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:54:50.1398214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1398592Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1398725Z 
2025-08-26T20:54:50.1398836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1399178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1399492Z     return mod(**inputs)
2025-08-26T20:54:50.1399836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1400202Z     outputs = self.model(
2025-08-26T20:54:50.1400603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1400979Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1401343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1401706Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1402047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1402437Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1402822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1403245Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1403414Z 
2025-08-26T20:54:50.1403523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1403873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1404186Z     return mod(**inputs)
2025-08-26T20:54:50.1404543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1404918Z     outputs = self.model(
2025-08-26T20:54:50.1405272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1405643Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1406018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1406395Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1406740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1407099Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1407474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:54:50.1407893Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1408299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1408635Z     return self.act(input)
2025-08-26T20:54:50.1408742Z 
2025-08-26T20:54:50.1408844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1409197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1409513Z     return mod(**inputs)
2025-08-26T20:54:50.1409865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1410236Z     outputs = self.model(
2025-08-26T20:54:50.1410584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:54:50.1410982Z     encoder_outputs = self.encoder(
2025-08-26T20:54:50.1411356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:54:50.1411734Z     layer_outputs = encoder_layer(
2025-08-26T20:54:50.1412079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1412426Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1412810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:54:50.1413197Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1413333Z 
2025-08-26T20:54:50.1413443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1413786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1414111Z     return mod(**inputs)
2025-08-26T20:54:50.1414637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1415027Z     outputs = self.model(
2025-08-26T20:54:50.1415387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1415765Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1416210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1416589Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1416931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1417277Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1417655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1418057Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1418462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1418907Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1419101Z 
2025-08-26T20:54:50.1419202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1419550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1419858Z     return mod(**inputs)
2025-08-26T20:54:50.1420202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1420565Z     outputs = self.model(
2025-08-26T20:54:50.1420912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1421294Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1421668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1422122Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1422448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1422798Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1423171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1423577Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1423975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1424351Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1424529Z 
2025-08-26T20:54:50.1424637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1424994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1425320Z     return mod(**inputs)
2025-08-26T20:54:50.1425686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1426055Z     outputs = self.model(
2025-08-26T20:54:50.1426417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1426799Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1427175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1427550Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1427901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1428262Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1428641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1429052Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1429452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1429846Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1429995Z 
2025-08-26T20:54:50.1430114Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1430330Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1430528Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1430741Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1430986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1431355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1431694Z     return mod(**inputs)
2025-08-26T20:54:50.1432063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1432456Z     outputs = self.model(
2025-08-26T20:54:50.1432905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1433332Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1433739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1434122Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1434469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1434831Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1435218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1435612Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1436013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1436443Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1436883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1437360Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1437541Z 
2025-08-26T20:54:50.1437643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1437995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1438316Z     return mod(**inputs)
2025-08-26T20:54:50.1438671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1439063Z     outputs = self.model(
2025-08-26T20:54:50.1439418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1439798Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1440170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1440545Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1440882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1441237Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1441614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1442011Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1442409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1442796Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1443230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1443673Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1443829Z 
2025-08-26T20:54:50.1443970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1444318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1444633Z     return mod(**inputs)
2025-08-26T20:54:50.1444986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1445355Z     outputs = self.model(
2025-08-26T20:54:50.1445712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1446083Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1446463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1446827Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1447169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1447507Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1447858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1448236Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1448777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1449162Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1449294Z 
2025-08-26T20:54:50.1449395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1449759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1450069Z     return mod(**inputs)
2025-08-26T20:54:50.1450413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1450776Z     outputs = self.model(
2025-08-26T20:54:50.1451117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1451487Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1451856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1452229Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1452588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1452942Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1453325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1453732Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1454128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1454564Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1454768Z 
2025-08-26T20:54:50.1454870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1455218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1455531Z     return mod(**inputs)
2025-08-26T20:54:50.1455888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1456251Z     outputs = self.model(
2025-08-26T20:54:50.1456609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1456987Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1457348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1457745Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1458075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1458424Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1458790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1459192Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1459586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1459970Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1460107Z 
2025-08-26T20:54:50.1460210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1460573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1460885Z     return mod(**inputs)
2025-08-26T20:54:50.1461226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1461589Z     outputs = self.model(
2025-08-26T20:54:50.1461949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1462329Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1462699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1463081Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1463447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1463803Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1464181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1464588Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1464993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1465450Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1465599Z 
2025-08-26T20:54:50.1465691Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1465937Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1466148Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1466362Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1466608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1466989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1467340Z     return mod(**inputs)
2025-08-26T20:54:50.1467728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1468135Z     outputs = self.model(
2025-08-26T20:54:50.1468516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1468918Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1469325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1469730Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1470095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1470488Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1470888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1471322Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1471791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1472222Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1472776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1473304Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1473516Z 
2025-08-26T20:54:50.1473629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1474016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1474362Z     return mod(**inputs)
2025-08-26T20:54:50.1474723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1475095Z     outputs = self.model(
2025-08-26T20:54:50.1475460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1475868Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1476268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1476664Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1477032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1477419Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1477796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1478231Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1478645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1479093Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1479565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1480051Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1480222Z 
2025-08-26T20:54:50.1480338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1480705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1481066Z     return mod(**inputs)
2025-08-26T20:54:50.1481439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1481516Z     outputs = self.model(
2025-08-26T20:54:50.1481781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1481858Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1482125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1482201Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1482431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1482522Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1482780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1482897Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1483154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1483238Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1483243Z 
2025-08-26T20:54:50.1483359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1483597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1483675Z     return mod(**inputs)
2025-08-26T20:54:50.1483935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1484005Z     outputs = self.model(
2025-08-26T20:54:50.1484269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1484347Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1484612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1484687Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1484927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1485007Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1485261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1485394Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1485398Z 
2025-08-26T20:54:50.1485505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1485715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1485784Z     return mod(**inputs)
2025-08-26T20:54:50.1486036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1486146Z     outputs = self.model(
2025-08-26T20:54:50.1486399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1486481Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1486739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1486812Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1487048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1487126Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1487387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1487528Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1487756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1487827Z     return self.act(input)
2025-08-26T20:54:50.1487831Z 
2025-08-26T20:54:50.1487937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1488149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1488218Z     return mod(**inputs)
2025-08-26T20:54:50.1488478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1488545Z     outputs = self.model(
2025-08-26T20:54:50.1488803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1488888Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1489143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1489227Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1489454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1489535Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1489831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:54:50.1489919Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1489923Z 
2025-08-26T20:54:50.1490036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1490236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1490309Z     return mod(**inputs)
2025-08-26T20:54:50.1490564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1490630Z     outputs = self.model(
2025-08-26T20:54:50.1490894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1490967Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1491227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1491301Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1491526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1491612Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1491862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1491974Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1492225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1492411Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1492415Z 
2025-08-26T20:54:50.1492522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1492729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1492806Z     return mod(**inputs)
2025-08-26T20:54:50.1493065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1493139Z     outputs = self.model(
2025-08-26T20:54:50.1493395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1493470Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1493752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1493825Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1494058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1494139Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1494396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1494506Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1494756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1494847Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1494850Z 
2025-08-26T20:54:50.1494956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1495168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1495236Z     return mod(**inputs)
2025-08-26T20:54:50.1495494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1495570Z     outputs = self.model(
2025-08-26T20:54:50.1495822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1495935Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1496194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1496267Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1496507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1496588Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1496854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1496955Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1497222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1497311Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1497314Z 
2025-08-26T20:54:50.1497408Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1497495Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1497571Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1497655Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1497755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1497951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1498023Z     return mod(**inputs)
2025-08-26T20:54:50.1498269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1498362Z     outputs = self.model(
2025-08-26T20:54:50.1498602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1498673Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1498928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1498998Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1499224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1499298Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1499539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1499661Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1499901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1500009Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1500294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1500436Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1500439Z 
2025-08-26T20:54:50.1500539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1500729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1500799Z     return mod(**inputs)
2025-08-26T20:54:50.1501040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1501116Z     outputs = self.model(
2025-08-26T20:54:50.1501354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1501428Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1501678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1501746Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1502005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1502085Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1502332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1502438Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1502686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1502797Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1503109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1503233Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1503237Z 
2025-08-26T20:54:50.1503347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1503566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1503639Z     return mod(**inputs)
2025-08-26T20:54:50.1503888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1503963Z     outputs = self.model(
2025-08-26T20:54:50.1504211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1504288Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1504544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1504633Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1504860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1504935Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1505187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1505281Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1505526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1505614Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1505634Z 
2025-08-26T20:54:50.1505733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1505931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1505997Z     return mod(**inputs)
2025-08-26T20:54:50.1506238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1506311Z     outputs = self.model(
2025-08-26T20:54:50.1506553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1506633Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1506873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1506948Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1507162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1507239Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1507484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1507591Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1507837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1508032Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1508037Z 
2025-08-26T20:54:50.1508138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1508337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1508401Z     return mod(**inputs)
2025-08-26T20:54:50.1508648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1508715Z     outputs = self.model(
2025-08-26T20:54:50.1508961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1509045Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1509297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1509378Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1509608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1509696Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1509952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1510063Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1510325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1510407Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1510431Z 
2025-08-26T20:54:50.1510544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1510745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1510811Z     return mod(**inputs)
2025-08-26T20:54:50.1511080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1511150Z     outputs = self.model(
2025-08-26T20:54:50.1511413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1511486Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1511747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1511847Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1512072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1512164Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1512425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1512543Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1512898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1512995Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1512999Z 
2025-08-26T20:54:50.1513093Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1513178Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1513270Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1513351Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1513462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1513683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1513754Z     return mod(**inputs)
2025-08-26T20:54:50.1514028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1514111Z     outputs = self.model(
2025-08-26T20:54:50.1514559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1514670Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1514932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1515016Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1515249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1515341Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1515598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1515710Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1515973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1516079Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1516389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1516531Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1516535Z 
2025-08-26T20:54:50.1516645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1516857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1516924Z     return mod(**inputs)
2025-08-26T20:54:50.1517217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1517286Z     outputs = self.model(
2025-08-26T20:54:50.1517539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1517624Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1517879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1517960Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1518190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1518345Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1518598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1518710Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1518974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1519075Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1519387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1519499Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1519503Z 
2025-08-26T20:54:50.1519614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1519817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1519885Z     return mod(**inputs)
2025-08-26T20:54:50.1520149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1520220Z     outputs = self.model(
2025-08-26T20:54:50.1520481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1520555Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1520860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1520943Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1521175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1521261Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1521519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1521630Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1521893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1521978Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1521982Z 
2025-08-26T20:54:50.1522094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1522300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1522374Z     return mod(**inputs)
2025-08-26T20:54:50.1522638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1522706Z     outputs = self.model(
2025-08-26T20:54:50.1522974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1523048Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1523312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1523410Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1523638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1523725Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1523982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1524117Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1524121Z 
2025-08-26T20:54:50.1524225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1524429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1524520Z     return mod(**inputs)
2025-08-26T20:54:50.1524779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1524853Z     outputs = self.model(
2025-08-26T20:54:50.1525114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1525192Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1525433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1525504Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1525727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1525801Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1526047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1526168Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1526376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1526453Z     return self.act(input)
2025-08-26T20:54:50.1526457Z 
2025-08-26T20:54:50.1526557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1526758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1526821Z     return mod(**inputs)
2025-08-26T20:54:50.1527091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1527165Z     outputs = self.model(
2025-08-26T20:54:50.1527405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1527482Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1527724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1527801Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1528016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1528090Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1528336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:54:50.1528418Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1528421Z 
2025-08-26T20:54:50.1528726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1528918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1528982Z     return mod(**inputs)
2025-08-26T20:54:50.1529228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1529295Z     outputs = self.model(
2025-08-26T20:54:50.1529555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1529656Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1529921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1530006Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1530224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1530310Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1530552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1530657Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1530933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1531091Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1531097Z 
2025-08-26T20:54:50.1531207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1531408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1531482Z     return mod(**inputs)
2025-08-26T20:54:50.1531743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1531818Z     outputs = self.model(
2025-08-26T20:54:50.1532076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1532148Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1532410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1532485Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1532726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1532804Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1533043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1533189Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1533432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1533519Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1533522Z 
2025-08-26T20:54:50.1533621Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1533816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1533888Z     return mod(**inputs)
2025-08-26T20:54:50.1534130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1534203Z     outputs = self.model(
2025-08-26T20:54:50.1534446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1534520Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1534764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1534833Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1535053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1535127Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1535377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1535470Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1535729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1535819Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1535822Z 
2025-08-26T20:54:50.1535899Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1535984Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1536061Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1536134Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1536239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1536430Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1536500Z     return mod(**inputs)
2025-08-26T20:54:50.1536773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1536840Z     outputs = self.model(
2025-08-26T20:54:50.1537091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1537162Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1537413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1537484Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1537717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1537796Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1538051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1538160Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1538411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1538515Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1538798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1538929Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1538940Z 
2025-08-26T20:54:50.1539072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1539266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1539337Z     return mod(**inputs)
2025-08-26T20:54:50.1539577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1539656Z     outputs = self.model(
2025-08-26T20:54:50.1539899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1539969Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1540223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1540291Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1540518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1540595Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1540837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1540940Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1541185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1541290Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1541576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1541703Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1541714Z 
2025-08-26T20:54:50.1541812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1542007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1542080Z     return mod(**inputs)
2025-08-26T20:54:50.1542320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1542394Z     outputs = self.model(
2025-08-26T20:54:50.1542648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1542744Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1543006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1543080Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1543315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1543395Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1543651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1543755Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1544006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1544095Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1544099Z 
2025-08-26T20:54:50.1544204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1544416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1544494Z     return mod(**inputs)
2025-08-26T20:54:50.1544734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1544804Z     outputs = self.model(
2025-08-26T20:54:50.1545046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1545156Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1545410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1545482Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1545716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1545798Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1546059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1546173Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1546425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1546587Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1546595Z 
2025-08-26T20:54:50.1546699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1546906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1546971Z     return mod(**inputs)
2025-08-26T20:54:50.1547234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1547304Z     outputs = self.model(
2025-08-26T20:54:50.1547558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1547661Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1547915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1547995Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1548226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1548307Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1548568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1548679Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1548940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1549043Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1549047Z 
2025-08-26T20:54:50.1549159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1549362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1549428Z     return mod(**inputs)
2025-08-26T20:54:50.1549690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1549759Z     outputs = self.model(
2025-08-26T20:54:50.1550021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1550097Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1550359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1550442Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1550675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1550765Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1551025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1551138Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1551443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1551537Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1551541Z 
2025-08-26T20:54:50.1551633Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1551714Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1551802Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1551883Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1551991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1552207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1552280Z     return mod(**inputs)
2025-08-26T20:54:50.1552552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1552698Z     outputs = self.model(
2025-08-26T20:54:50.1552975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1553061Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1553327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1553411Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1553648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1553734Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1554012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1554147Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1554406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1554511Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1554814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1554964Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1554968Z 
2025-08-26T20:54:50.1555074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1555314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1555382Z     return mod(**inputs)
2025-08-26T20:54:50.1555650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1555721Z     outputs = self.model(
2025-08-26T20:54:50.1555979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1556064Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1556320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1556403Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1556631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1556711Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1556977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1557086Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1557350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1557450Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1557793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1557906Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1557910Z 
2025-08-26T20:54:50.1558014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1558227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1558302Z     return mod(**inputs)
2025-08-26T20:54:50.1558553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1558619Z     outputs = self.model(
2025-08-26T20:54:50.1558861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1558942Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1559197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1559280Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1559507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1559592Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1559845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1559956Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1560217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1560321Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1560325Z 
2025-08-26T20:54:50.1560438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1560641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1560707Z     return mod(**inputs)
2025-08-26T20:54:50.1560972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1561042Z     outputs = self.model(
2025-08-26T20:54:50.1561303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1561387Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1561649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1561726Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1561944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1562027Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1562266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1562392Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1562396Z 
2025-08-26T20:54:50.1562493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1562684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1562757Z     return mod(**inputs)
2025-08-26T20:54:50.1562997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1563070Z     outputs = self.model(
2025-08-26T20:54:50.1563317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1563393Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1563655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1563729Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1563998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1564079Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1564330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1564458Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1564678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1564756Z     return self.act(input)
2025-08-26T20:54:50.1564761Z 
2025-08-26T20:54:50.1564864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1565071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1565136Z     return mod(**inputs)
2025-08-26T20:54:50.1565393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1565470Z     outputs = self.model(
2025-08-26T20:54:50.1565724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1565818Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1566058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1566128Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1566350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1566450Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1566714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:54:50.1566798Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1566806Z 
2025-08-26T20:54:50.1566919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1567122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1567187Z     return mod(**inputs)
2025-08-26T20:54:50.1567450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1567542Z     outputs = self.model(
2025-08-26T20:54:50.1567806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1567878Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1568117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1568194Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1568411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1568495Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1568733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1568829Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1569076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1569227Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1569233Z 
2025-08-26T20:54:50.1569341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1569535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1569604Z     return mod(**inputs)
2025-08-26T20:54:50.1569877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1569945Z     outputs = self.model(
2025-08-26T20:54:50.1570197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1570271Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1570536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1570610Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1570838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1570929Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1571183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1571292Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1571553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1571642Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1571646Z 
2025-08-26T20:54:50.1571751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1571953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1572030Z     return mod(**inputs)
2025-08-26T20:54:50.1572292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1572404Z     outputs = self.model(
2025-08-26T20:54:50.1572664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1572738Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1573012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1573086Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1573329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1573404Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1573643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1573765Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1574003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1574094Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1574097Z 
2025-08-26T20:54:50.1574175Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1574259Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1574336Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1574414Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1574522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1574714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1574785Z     return mod(**inputs)
2025-08-26T20:54:50.1575026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1575094Z     outputs = self.model(
2025-08-26T20:54:50.1575342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1575415Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1575664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1575733Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1575993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1576085Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1576338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1576446Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1576703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1576802Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1577111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1577249Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1577253Z 
2025-08-26T20:54:50.1577363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1577571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1577644Z     return mod(**inputs)
2025-08-26T20:54:50.1577899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1577969Z     outputs = self.model(
2025-08-26T20:54:50.1578230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1578306Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1578565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1578670Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1578898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1578985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1579242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1579347Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1579602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1579727Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1580026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1580138Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1580142Z 
2025-08-26T20:54:50.1580254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1580456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1580531Z     return mod(**inputs)
2025-08-26T20:54:50.1580789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1580857Z     outputs = self.model(
2025-08-26T20:54:50.1581119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1581193Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1581455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1581527Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1581757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1581845Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1582100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1582287Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1582551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1582642Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1582646Z 
2025-08-26T20:54:50.1582750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1582958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1583031Z     return mod(**inputs)
2025-08-26T20:54:50.1583289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1583367Z     outputs = self.model(
2025-08-26T20:54:50.1583623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1583698Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1583966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1584040Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1584277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1584359Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1584624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1584735Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1585008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1585177Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1585181Z 
2025-08-26T20:54:50.1585290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1585499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1585565Z     return mod(**inputs)
2025-08-26T20:54:50.1585819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1585894Z     outputs = self.model(
2025-08-26T20:54:50.1586174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1586256Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1586515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1586587Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1586821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1586905Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1587168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1587278Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1587540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1587624Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1587628Z 
2025-08-26T20:54:50.1587733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1587950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1588018Z     return mod(**inputs)
2025-08-26T20:54:50.1588289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1588359Z     outputs = self.model(
2025-08-26T20:54:50.1588660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1588745Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1589020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1589101Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1589336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1589426Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1589691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1589806Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1590076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1590167Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1590171Z 
2025-08-26T20:54:50.1590264Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1590348Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1590428Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1590514Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1590625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1590841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1590909Z     return mod(**inputs)
2025-08-26T20:54:50.1591206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1591285Z     outputs = self.model(
2025-08-26T20:54:50.1591556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1591642Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1591923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1591998Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1592241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1592346Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1592704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1592834Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1593142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1593246Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1593560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1593712Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1593716Z 
2025-08-26T20:54:50.1593824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1594039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1594111Z     return mod(**inputs)
2025-08-26T20:54:50.1594384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1594465Z     outputs = self.model(
2025-08-26T20:54:50.1594738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1594824Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1595137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1595223Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1595459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1595543Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1595820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1595936Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1596205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1596309Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1596623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1596748Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1596752Z 
2025-08-26T20:54:50.1596859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1597075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1597144Z     return mod(**inputs)
2025-08-26T20:54:50.1597417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1597491Z     outputs = self.model(
2025-08-26T20:54:50.1597755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1597858Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1598119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1598202Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1598439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1598521Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1598790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1598903Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1599194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1599279Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1599285Z 
2025-08-26T20:54:50.1599392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1599608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1599678Z     return mod(**inputs)
2025-08-26T20:54:50.1599963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1600029Z     outputs = self.model(
2025-08-26T20:54:50.1600279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1600350Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1600590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1600671Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1600885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1600972Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1601210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1601327Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1601374Z 
2025-08-26T20:54:50.1601484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1601678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1601751Z     return mod(**inputs)
2025-08-26T20:54:50.1601998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1602068Z     outputs = self.model(
2025-08-26T20:54:50.1602328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1602403Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1602659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1602734Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1602973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1603054Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1603304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1603434Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1603655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1603735Z     return self.act(input)
2025-08-26T20:54:50.1603739Z 
2025-08-26T20:54:50.1603848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1604063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1604133Z     return mod(**inputs)
2025-08-26T20:54:50.1604372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1604447Z     outputs = self.model(
2025-08-26T20:54:50.1604687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1604755Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1605009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1605102Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1605341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1605423Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1605690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:54:50.1605773Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1605777Z 
2025-08-26T20:54:50.1605888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1606103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1606169Z     return mod(**inputs)
2025-08-26T20:54:50.1606438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1606507Z     outputs = self.model(
2025-08-26T20:54:50.1606772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1606854Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1607114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1607191Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1607413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1607522Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1607771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1607867Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1608115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1608264Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1608268Z 
2025-08-26T20:54:50.1608374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1608566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1608629Z     return mod(**inputs)
2025-08-26T20:54:50.1608879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1608947Z     outputs = self.model(
2025-08-26T20:54:50.1609198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1609269Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1609515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1609593Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1609811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1609893Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1610159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1610261Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1610502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1610579Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1610583Z 
2025-08-26T20:54:50.1610689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1610882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1610951Z     return mod(**inputs)
2025-08-26T20:54:50.1611217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1611282Z     outputs = self.model(
2025-08-26T20:54:50.1611532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1611601Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1611845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1611917Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1612131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1612214Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1612453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1612557Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1612796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1612889Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1612893Z 
2025-08-26T20:54:50.1612973Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1613049Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1613134Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1613213Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1613361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1613568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1613634Z     return mod(**inputs)
2025-08-26T20:54:50.1613898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1613966Z     outputs = self.model(
2025-08-26T20:54:50.1614217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1614291Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1614724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1614807Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1615032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1615122Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1615380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1615489Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1615752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1615855Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1616174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1616388Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1616392Z 
2025-08-26T20:54:50.1616508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1616714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1616782Z     return mod(**inputs)
2025-08-26T20:54:50.1617054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1617122Z     outputs = self.model(
2025-08-26T20:54:50.1617376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1617480Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1617736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1617823Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1618050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1618143Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1618400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1618509Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1618763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1618865Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1619174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1619289Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1619295Z 
2025-08-26T20:54:50.1619405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1619611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1619677Z     return mod(**inputs)
2025-08-26T20:54:50.1619988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1620060Z     outputs = self.model(
2025-08-26T20:54:50.1620326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1620400Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1620665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1620740Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1620971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1621063Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1621320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1621432Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1621688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1621772Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1621775Z 
2025-08-26T20:54:50.1621889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1622097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1622172Z     return mod(**inputs)
2025-08-26T20:54:50.1622431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1622521Z     outputs = self.model(
2025-08-26T20:54:50.1622783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1622857Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1623123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1623197Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1623433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1623513Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1623768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1623908Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1624162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1624326Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1624330Z 
2025-08-26T20:54:50.1624432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1624639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1624712Z     return mod(**inputs)
2025-08-26T20:54:50.1624968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1625044Z     outputs = self.model(
2025-08-26T20:54:50.1625299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1625382Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1625636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1625708Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1625944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1626022Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1626326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1626438Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1626687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1626779Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1626785Z 
2025-08-26T20:54:50.1626888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1627095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1627163Z     return mod(**inputs)
2025-08-26T20:54:50.1627415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1627491Z     outputs = self.model(
2025-08-26T20:54:50.1627746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1627828Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1628081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1628159Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1628387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1628467Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1628730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1628864Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1629142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1629236Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1629241Z 
2025-08-26T20:54:50.1629323Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1629412Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1629492Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1629580Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1629688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1629918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1629994Z     return mod(**inputs)
2025-08-26T20:54:50.1630272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1630354Z     outputs = self.model(
2025-08-26T20:54:50.1630684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1630757Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1631049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1631122Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1631359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1631439Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1631700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1631808Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1632069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1632192Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1632628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1632789Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1632793Z 
2025-08-26T20:54:50.1632902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1633121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1633197Z     return mod(**inputs)
2025-08-26T20:54:50.1633474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1633554Z     outputs = self.model(
2025-08-26T20:54:50.1633820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1633912Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1634182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1634257Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1634496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1634574Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1634847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1634957Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1635222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1635360Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1635659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1635777Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1635784Z 
2025-08-26T20:54:50.1635889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1636102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1636168Z     return mod(**inputs)
2025-08-26T20:54:50.1636435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1636539Z     outputs = self.model(
2025-08-26T20:54:50.1636807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1636926Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1637203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1637274Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1637514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1637597Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1637854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1637963Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1638225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1638318Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1638322Z 
2025-08-26T20:54:50.1638429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1638639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1638705Z     return mod(**inputs)
2025-08-26T20:54:50.1638962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1639068Z     outputs = self.model(
2025-08-26T20:54:50.1639326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1639407Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1639665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1639745Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1639973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1640055Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1640318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1640440Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1640444Z 
2025-08-26T20:54:50.1640558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1640760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1640835Z     return mod(**inputs)
2025-08-26T20:54:50.1641095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1641168Z     outputs = self.model(
2025-08-26T20:54:50.1641440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1641515Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1641813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1641885Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1642115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1642207Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1642461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1642590Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1642815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1642907Z     return self.act(input)
2025-08-26T20:54:50.1642918Z 
2025-08-26T20:54:50.1643023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1643226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1643298Z     return mod(**inputs)
2025-08-26T20:54:50.1643554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1643630Z     outputs = self.model(
2025-08-26T20:54:50.1643887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1643961Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1644221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1644293Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1644529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1644609Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1644865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:54:50.1644959Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1644963Z 
2025-08-26T20:54:50.1645069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1645316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1645387Z     return mod(**inputs)
2025-08-26T20:54:50.1645649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1645728Z     outputs = self.model(
2025-08-26T20:54:50.1645990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1646077Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1646340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1646426Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1646661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1646743Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1647020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1647127Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1647400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1647569Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1647575Z 
2025-08-26T20:54:50.1647675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1647876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1647958Z     return mod(**inputs)
2025-08-26T20:54:50.1648208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1648273Z     outputs = self.model(
2025-08-26T20:54:50.1648523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1648594Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1648841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1648923Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1649180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1649268Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1649523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1649628Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1649892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1649976Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1649980Z 
2025-08-26T20:54:50.1650091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1650292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1670257Z     return mod(**inputs)
2025-08-26T20:54:50.1670701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1670818Z     outputs = self.model(
2025-08-26T20:54:50.1671112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1671211Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1671493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1671576Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1671967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1672066Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1672345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1672471Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1673040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1673152Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1673163Z 
2025-08-26T20:54:50.1673255Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1673351Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1673433Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1673513Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1673643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1673877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1673965Z     return mod(**inputs)
2025-08-26T20:54:50.1674245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1674322Z     outputs = self.model(
2025-08-26T20:54:50.1674598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1674680Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1674980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1675060Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1675293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1675391Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1675646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1675762Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1676016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1676175Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1676494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1676640Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1676646Z 
2025-08-26T20:54:50.1676765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1676982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1677064Z     return mod(**inputs)
2025-08-26T20:54:50.1677327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1677401Z     outputs = self.model(
2025-08-26T20:54:50.1677669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1677748Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1678013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1678089Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1678322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1678415Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1678706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1678819Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1679074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1679182Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1679489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1679610Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1679614Z 
2025-08-26T20:54:50.1679734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1679946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1680024Z     return mod(**inputs)
2025-08-26T20:54:50.1680287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1680359Z     outputs = self.model(
2025-08-26T20:54:50.1680626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1680702Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1680967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1681043Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1681273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1681385Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1681641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:54:50.1681759Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:54:50.1682000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1682089Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1682092Z 
2025-08-26T20:54:50.1682195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1682392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1682492Z     return mod(**inputs)
2025-08-26T20:54:50.1682752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1682836Z     outputs = self.model(
2025-08-26T20:54:50.1683096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1683175Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1683446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1683524Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1683770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1683854Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1684121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1684240Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1684497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:54:50.1684673Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:54:50.1684677Z 
2025-08-26T20:54:50.1684788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1685052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1685121Z     return mod(**inputs)
2025-08-26T20:54:50.1685385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1685462Z     outputs = self.model(
2025-08-26T20:54:50.1685720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1685804Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1686064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1686139Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1686376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1686457Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1686726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1686839Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1687101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:54:50.1687184Z     key_states = self.k_proj(current_states)
2025-08-26T20:54:50.1687188Z 
2025-08-26T20:54:50.1687298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1687512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1687601Z     return mod(**inputs)
2025-08-26T20:54:50.1687867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1687937Z     outputs = self.model(
2025-08-26T20:54:50.1688197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1688281Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1688537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1688621Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1688852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1688964Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1689219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1689333Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1689597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:54:50.1689686Z     value_states = self.v_proj(current_states)
2025-08-26T20:54:50.1689690Z 
2025-08-26T20:54:50.1689782Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1689866Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1689949Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1690040Z cudagraph partition due to non gpu ops
2025-08-26T20:54:50.1690148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1690361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1690432Z     return mod(**inputs)
2025-08-26T20:54:50.1690689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1690772Z     outputs = self.model(
2025-08-26T20:54:50.1691033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1691118Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1691406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1691481Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1691717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1691798Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1692060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1692174Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1692439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1692546Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1692853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:54:50.1693007Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:50.1693012Z 
2025-08-26T20:54:50.1693118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1693340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1693402Z     return mod(**inputs)
2025-08-26T20:54:50.1693644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1693721Z     outputs = self.model(
2025-08-26T20:54:50.1693976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1694079Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1694338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1694420Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1694652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1694734Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1695000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1695111Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1695387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:54:50.1695490Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:54:50.1695795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:54:50.1695919Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:54:50.1695923Z 
2025-08-26T20:54:50.1696032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1696245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1696311Z     return mod(**inputs)
2025-08-26T20:54:50.1696570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1696648Z     outputs = self.model(
2025-08-26T20:54:50.1696906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1696991Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1697250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1697334Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1697563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1697681Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1697949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:54:50.1698059Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:54:50.1698323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:54:50.1698409Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:54:50.1698413Z 
2025-08-26T20:54:50.1698521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1698734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1698802Z     return mod(**inputs)
2025-08-26T20:54:50.1699068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1699138Z     outputs = self.model(
2025-08-26T20:54:50.1699408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1699483Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1699739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1699822Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1700054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1700143Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1700415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1700543Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1700547Z 
2025-08-26T20:54:50.1700660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1700864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1700940Z     return mod(**inputs)
2025-08-26T20:54:50.1701196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1701264Z     outputs = self.model(
2025-08-26T20:54:50.1701526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1701620Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1701883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1701958Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1702193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1702272Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1702532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:54:50.1702664Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:54:50.1702887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:50.1702971Z     return self.act(input)
2025-08-26T20:54:50.1702975Z 
2025-08-26T20:54:50.1703081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1703288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1703365Z     return mod(**inputs)
2025-08-26T20:54:50.1703627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:54:50.1703701Z     outputs = self.model(
2025-08-26T20:54:50.1703993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:54:50.1704071Z     decoder_outputs = self.decoder(
2025-08-26T20:54:50.1704334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:54:50.1704406Z     layer_outputs = decoder_layer(
2025-08-26T20:54:50.1704642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:50.1704725Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:50.1704987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:54:50.1705076Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:54:50.1705080Z 
2025-08-26T20:54:50.1705186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1705399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1705466Z     return mod(**inputs)
2025-08-26T20:54:50.1705735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1490, in forward
2025-08-26T20:54:50.1705820Z     lm_logits = self.lm_head(outputs[0])
2025-08-26T20:54:50.1705824Z 
2025-08-26T20:54:50.1705929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:50.1706143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:50.1706211Z     return mod(**inputs)
2025-08-26T20:54:50.1706478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1491, in forward
2025-08-26T20:54:50.1706632Z     lm_logits = lm_logits + self.final_logits_bias.to(lm_logits.device)
2025-08-26T20:54:50.1706636Z 
2025-08-26T20:55:01.5420683Z Compilation time (from dynamo_timed): 30.842927841
2025-08-26T20:55:01.5865609Z pass
2025-08-26T20:55:01.5866176Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:01.5867140Z TIMING: _recursive_pre_grad_passes:0.01023 _recursive_joint_graph_passes:0.65848 _recursive_post_grad_passes:0.12906 async_compile.wait:0.6572 code_gen:9.58439 inductor_compile:13.1913 backend_compile:24.52095 gc:0.0004 entire_frame_compile:30.84293 total_wall_time:30.84293
2025-08-26T20:55:01.5868599Z STATS: call_* op count: 501 | FakeTensorMode.__torch_dispatch__:17356 | FakeTensor.__torch_dispatch__:5655 | attempt fast:43 | fast is_contiguous:42 | slow no contiguity match:1 | ProxyTorchDispatchMode.__torch_dispatch__:6295
2025-08-26T20:55:01.5869301Z Dynamo produced 1 graphs covering 501 ops with 0 graph breaks (0 unique)
2025-08-26T20:55:06.9896415Z 
2025-08-26T20:55:10.0817055Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:55:10.0817422Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:55:10.0826211Z cpu  eval  hf_Bert                            
2025-08-26T20:55:11.5428881Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:12.2540521Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:12.9524166Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:29.1015301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1016039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1017074Z     return mod(**inputs)
2025-08-26T20:55:29.1017981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1018516Z     outputs = self.bert(
2025-08-26T20:55:29.1018925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward
2025-08-26T20:55:29.1019747Z     embedding_output = self.embeddings(
2025-08-26T20:55:29.1020191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 187, in forward
2025-08-26T20:55:29.1020617Z     embeddings += position_embeddings
2025-08-26T20:55:29.1020763Z 
2025-08-26T20:55:29.1020863Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1021085Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1021309Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1021550Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1021762Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1021975Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1022216Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1022433Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1022635Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1022846Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1023062Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1023278Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1023528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1023919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1024270Z     return mod(**inputs)
2025-08-26T20:55:29.1024668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1025059Z     outputs = self.bert(
2025-08-26T20:55:29.1025447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1025938Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1026395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1026851Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1027216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1027648Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1028061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1028492Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1028910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1029397Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1029819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1030242Z     self_outputs = self.self(
2025-08-26T20:55:29.1030645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1031045Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1031452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1032022Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1032311Z 
2025-08-26T20:55:29.1032436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1033018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1033388Z     return mod(**inputs)
2025-08-26T20:55:29.1033784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1034190Z     outputs = self.bert(
2025-08-26T20:55:29.1034580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1035002Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1035475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1035885Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1036261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1036664Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1037085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1037594Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1038018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1038426Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1038838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1039256Z     self_outputs = self.self(
2025-08-26T20:55:29.1039664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1040070Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1040469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1040880Z     self.key(current_states)
2025-08-26T20:55:29.1041012Z 
2025-08-26T20:55:29.1041404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1041798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1042173Z     return mod(**inputs)
2025-08-26T20:55:29.1042557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1042953Z     outputs = self.bert(
2025-08-26T20:55:29.1043340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1043749Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1044155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1044569Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1044945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1045352Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1045751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1046144Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1046514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1046880Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1047262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1047658Z     self_outputs = self.self(
2025-08-26T20:55:29.1048033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1048417Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1048806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1049214Z     self.value(current_states)
2025-08-26T20:55:29.1049339Z 
2025-08-26T20:55:29.1049431Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1049684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1050052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1050393Z     return mod(**inputs)
2025-08-26T20:55:29.1050859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1051253Z     outputs = self.bert(
2025-08-26T20:55:29.1051616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1052015Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1052407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1052797Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1053161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1053531Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1053931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1054336Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1054731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1055111Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1055503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1055893Z     self_outputs = self.self(
2025-08-26T20:55:29.1056270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1056670Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1057041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1057497Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1057694Z 
2025-08-26T20:55:29.1057806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1058176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1058507Z     return mod(**inputs)
2025-08-26T20:55:29.1058871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1059252Z     outputs = self.bert(
2025-08-26T20:55:29.1059645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1060049Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1060447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1060830Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1061189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1061573Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1061971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1062370Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1062766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1063154Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1063538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1063989Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1064440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1064856Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1065001Z 
2025-08-26T20:55:29.1065156Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1065535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1065865Z     return mod(**inputs)
2025-08-26T20:55:29.1066253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1066644Z     outputs = self.bert(
2025-08-26T20:55:29.1067005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1067407Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1067801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1068203Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1068562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1068930Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1069325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1069741Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1070179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1070605Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1071037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1071553Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1072008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1072437Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1072811Z 
2025-08-26T20:55:29.1072943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1073334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1073693Z     return mod(**inputs)
2025-08-26T20:55:29.1074080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1074512Z     outputs = self.bert(
2025-08-26T20:55:29.1074876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1075290Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1075680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1076087Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1076455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1076835Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1077246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1077666Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1078087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1078498Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1078940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1079426Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1079884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1080370Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1080767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1081128Z     return self.act(input)
2025-08-26T20:55:29.1081257Z 
2025-08-26T20:55:29.1081367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1081739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1082077Z     return mod(**inputs)
2025-08-26T20:55:29.1082444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1082836Z     outputs = self.bert(
2025-08-26T20:55:29.1083204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1083607Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1084000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1084395Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1084759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1085137Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1085514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1085892Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1086292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1086731Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1087160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1087651Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1088114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1088497Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1088642Z 
2025-08-26T20:55:29.1088752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1089128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1089480Z     return mod(**inputs)
2025-08-26T20:55:29.1089856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1090252Z     outputs = self.bert(
2025-08-26T20:55:29.1090626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1091034Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1091425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1091797Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1092143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1092503Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1092897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1093300Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1093703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1094097Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1094484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1094910Z     self_outputs = self.self(
2025-08-26T20:55:29.1095297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1095688Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1096084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1096641Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1096924Z 
2025-08-26T20:55:29.1097040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1097432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1097782Z     return mod(**inputs)
2025-08-26T20:55:29.1098166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1098561Z     outputs = self.bert(
2025-08-26T20:55:29.1098947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1099358Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1099758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1100160Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1100530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1100919Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1101340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1101746Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1102145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1102527Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1102909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1103302Z     self_outputs = self.self(
2025-08-26T20:55:29.1103679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1104093Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1104476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1104871Z     self.key(current_states)
2025-08-26T20:55:29.1104992Z 
2025-08-26T20:55:29.1105107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1105481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1105806Z     return mod(**inputs)
2025-08-26T20:55:29.1106188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1106578Z     outputs = self.bert(
2025-08-26T20:55:29.1106953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1107356Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1107764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1108171Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1108550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1108941Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1109339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1109801Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1110204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1110609Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1111009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1111413Z     self_outputs = self.self(
2025-08-26T20:55:29.1111804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1112215Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1112698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1113143Z     self.value(current_states)
2025-08-26T20:55:29.1113280Z 
2025-08-26T20:55:29.1113369Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1113638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1114041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1114408Z     return mod(**inputs)
2025-08-26T20:55:29.1114985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1115386Z     outputs = self.bert(
2025-08-26T20:55:29.1115764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1116177Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1116638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1117030Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1117426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1117790Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1118172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1118552Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1118930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1119368Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1119731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1120099Z     self_outputs = self.self(
2025-08-26T20:55:29.1120457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1120822Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1121191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1121627Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1121811Z 
2025-08-26T20:55:29.1121915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1122271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1122597Z     return mod(**inputs)
2025-08-26T20:55:29.1122953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1123324Z     outputs = self.bert(
2025-08-26T20:55:29.1123671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1124050Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1124419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1124900Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1125234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1125583Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1125955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1126333Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1126705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1127069Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1127429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1127860Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1128291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1128674Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1128809Z 
2025-08-26T20:55:29.1128911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1129258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1129573Z     return mod(**inputs)
2025-08-26T20:55:29.1129923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1130287Z     outputs = self.bert(
2025-08-26T20:55:29.1130658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1131034Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1131410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1131784Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1132123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1132485Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1132859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1133314Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1133716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1134114Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1134526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1134990Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1135420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1135802Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1135950Z 
2025-08-26T20:55:29.1136056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1136417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1136744Z     return mod(**inputs)
2025-08-26T20:55:29.1137099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1137501Z     outputs = self.bert(
2025-08-26T20:55:29.1137858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1138233Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1139407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1139780Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1140118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1140465Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1140829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1141220Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1141617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1142013Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1142423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1142896Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1143328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1143740Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1144177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1144516Z     return self.act(input)
2025-08-26T20:55:29.1144633Z 
2025-08-26T20:55:29.1144735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1145095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1145446Z     return mod(**inputs)
2025-08-26T20:55:29.1145804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1146171Z     outputs = self.bert(
2025-08-26T20:55:29.1146521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1146893Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1147269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1147672Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1148031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1148434Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1148837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1149255Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1149673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1150092Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1150522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1151017Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1151472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1151875Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1152027Z 
2025-08-26T20:55:29.1152136Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1152517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1152938Z     return mod(**inputs)
2025-08-26T20:55:29.1153332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1153731Z     outputs = self.bert(
2025-08-26T20:55:29.1154156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1154577Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1154971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1155368Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1155737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1156120Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1156524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1156938Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1157331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1157736Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1158122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1158526Z     self_outputs = self.self(
2025-08-26T20:55:29.1158906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1159306Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1159693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1160281Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1160563Z 
2025-08-26T20:55:29.1160678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1161057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1161419Z     return mod(**inputs)
2025-08-26T20:55:29.1161798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1162201Z     outputs = self.bert(
2025-08-26T20:55:29.1162583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1163008Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1163409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1163817Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1164180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1164561Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1165008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1165420Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1165816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1166209Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1166592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1166997Z     self_outputs = self.self(
2025-08-26T20:55:29.1167374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1167758Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1168136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1168528Z     self.key(current_states)
2025-08-26T20:55:29.1168654Z 
2025-08-26T20:55:29.1168797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1169183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1169528Z     return mod(**inputs)
2025-08-26T20:55:29.1169895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1170283Z     outputs = self.bert(
2025-08-26T20:55:29.1170657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1171072Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1171467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1171923Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1172265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1172618Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1172996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1173370Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1173747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1174112Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1174469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1174859Z     self_outputs = self.self(
2025-08-26T20:55:29.1175224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1175614Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1175997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1176394Z     self.value(current_states)
2025-08-26T20:55:29.1176521Z 
2025-08-26T20:55:29.1176612Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1176856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1177229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1177592Z     return mod(**inputs)
2025-08-26T20:55:29.1177966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1178358Z     outputs = self.bert(
2025-08-26T20:55:29.1178736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1179139Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1179535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1179929Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1180290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1180664Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1181063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1181468Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1181861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1182251Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1182636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1183032Z     self_outputs = self.self(
2025-08-26T20:55:29.1183446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1183827Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1184208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1184668Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1184866Z 
2025-08-26T20:55:29.1184994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1185342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1185676Z     return mod(**inputs)
2025-08-26T20:55:29.1186048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1186441Z     outputs = self.bert(
2025-08-26T20:55:29.1186820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1187214Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1187609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1188005Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1188367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1188746Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1189140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1189560Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1189965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1190360Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1190746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1191215Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1191674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1192089Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1192262Z 
2025-08-26T20:55:29.1192383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1192841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1193209Z     return mod(**inputs)
2025-08-26T20:55:29.1193595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1194007Z     outputs = self.bert(
2025-08-26T20:55:29.1194381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1194780Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1195170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1195562Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1195922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1196294Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1196693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1197105Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1197523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1197935Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1198396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1198883Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1199331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1199737Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1199881Z 
2025-08-26T20:55:29.1199997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1200361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1200684Z     return mod(**inputs)
2025-08-26T20:55:29.1201038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1201407Z     outputs = self.bert(
2025-08-26T20:55:29.1201755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1202139Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1202519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1202917Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1203282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1203663Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1204060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1204476Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1204869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1205251Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1205667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1206142Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1206584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1207046Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1207442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1207803Z     return self.act(input)
2025-08-26T20:55:29.1207926Z 
2025-08-26T20:55:29.1208035Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1208415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1208737Z     return mod(**inputs)
2025-08-26T20:55:29.1209104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1209477Z     outputs = self.bert(
2025-08-26T20:55:29.1209824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1210219Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1210610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1211013Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1211378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1211758Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1212152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1212598Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1213014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1213424Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1213852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1214340Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1214938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1215365Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1215522Z 
2025-08-26T20:55:29.1215636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1216032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1216381Z     return mod(**inputs)
2025-08-26T20:55:29.1216759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1217168Z     outputs = self.bert(
2025-08-26T20:55:29.1217551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1217958Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1218356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1218760Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1219177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1219549Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1219946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1220345Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1220744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1221131Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1221516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1221945Z     self_outputs = self.self(
2025-08-26T20:55:29.1222327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1222717Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1223098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1223637Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1223894Z 
2025-08-26T20:55:29.1224002Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1224359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1224680Z     return mod(**inputs)
2025-08-26T20:55:29.1225039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1225404Z     outputs = self.bert(
2025-08-26T20:55:29.1225736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1226108Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1226473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1226841Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1227223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1227583Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1227960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1228341Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1228734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1229120Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1229509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1229915Z     self_outputs = self.self(
2025-08-26T20:55:29.1230285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1230664Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1231047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1231442Z     self.key(current_states)
2025-08-26T20:55:29.1231561Z 
2025-08-26T20:55:29.1231675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1232046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1232376Z     return mod(**inputs)
2025-08-26T20:55:29.1232824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1233240Z     outputs = self.bert(
2025-08-26T20:55:29.1233670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1234083Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1234471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1234869Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1235232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1235585Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1235949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1236355Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1236734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1237125Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1237515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1237883Z     self_outputs = self.self(
2025-08-26T20:55:29.1238244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1238612Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1238981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1239349Z     self.value(current_states)
2025-08-26T20:55:29.1239476Z 
2025-08-26T20:55:29.1239554Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1239804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1240165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1240494Z     return mod(**inputs)
2025-08-26T20:55:29.1240845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1241217Z     outputs = self.bert(
2025-08-26T20:55:29.1241604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1241987Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1242352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1242730Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1243076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1243437Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1243817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1244193Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1244570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1244935Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1245303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1245674Z     self_outputs = self.self(
2025-08-26T20:55:29.1246023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1246390Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1246751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1247192Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1247401Z 
2025-08-26T20:55:29.1247504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1247858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1248176Z     return mod(**inputs)
2025-08-26T20:55:29.1248532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1248903Z     outputs = self.bert(
2025-08-26T20:55:29.1249242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1249618Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1249986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1250382Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1250720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1251077Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1251456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1251845Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1252225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1252585Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1252950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1253382Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1253809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1254207Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1254354Z 
2025-08-26T20:55:29.1254455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1254812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1255134Z     return mod(**inputs)
2025-08-26T20:55:29.1255527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1255897Z     outputs = self.bert(
2025-08-26T20:55:29.1256246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1256620Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1256988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1257361Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1257694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1258055Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1258431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1258817Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1259220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1259609Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1260012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1260457Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1260889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1261293Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1261468Z 
2025-08-26T20:55:29.1261573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1261946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1262303Z     return mod(**inputs)
2025-08-26T20:55:29.1262695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1263088Z     outputs = self.bert(
2025-08-26T20:55:29.1263457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1263865Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1264263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1264700Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1265058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1265432Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1265815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1266204Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1266610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1267022Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1267460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1267947Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1268385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1268820Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1269216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1269569Z     return self.act(input)
2025-08-26T20:55:29.1269688Z 
2025-08-26T20:55:29.1269852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1270226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1270554Z     return mod(**inputs)
2025-08-26T20:55:29.1270921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1271309Z     outputs = self.bert(
2025-08-26T20:55:29.1271680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1272081Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1272470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1272953Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1273333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1273735Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1274148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1274575Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1275010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1275416Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1275858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1276402Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1276877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1277306Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1277456Z 
2025-08-26T20:55:29.1277580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1277958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1278330Z     return mod(**inputs)
2025-08-26T20:55:29.1278716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1279155Z     outputs = self.bert(
2025-08-26T20:55:29.1279536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1279948Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1280353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1280756Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1281129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1281514Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1281881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1282261Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1282636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1283025Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1283403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1283800Z     self_outputs = self.self(
2025-08-26T20:55:29.1284179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1284575Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1284968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1285477Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1285746Z 
2025-08-26T20:55:29.1285854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1286230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1286565Z     return mod(**inputs)
2025-08-26T20:55:29.1286913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1287292Z     outputs = self.bert(
2025-08-26T20:55:29.1287661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1288070Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1288463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1288851Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1289211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1289584Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1289984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1290395Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1290791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1291255Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1291639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1292032Z     self_outputs = self.self(
2025-08-26T20:55:29.1292397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1292764Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1293128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1293514Z     self.key(current_states)
2025-08-26T20:55:29.1293657Z 
2025-08-26T20:55:29.1293774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1294142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1294479Z     return mod(**inputs)
2025-08-26T20:55:29.1294845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1295213Z     outputs = self.bert(
2025-08-26T20:55:29.1295557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1295930Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1296299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1296669Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1297010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1297355Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1297733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1298114Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1298508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1298892Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1299307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1299700Z     self_outputs = self.self(
2025-08-26T20:55:29.1300080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1300454Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1300805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1301181Z     self.value(current_states)
2025-08-26T20:55:29.1301310Z 
2025-08-26T20:55:29.1301393Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1301650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1302021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1302352Z     return mod(**inputs)
2025-08-26T20:55:29.1302725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1303110Z     outputs = self.bert(
2025-08-26T20:55:29.1303473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1303863Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1304253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1304647Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1305004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1305403Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1305799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1306210Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1306612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1307001Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1307378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1307779Z     self_outputs = self.self(
2025-08-26T20:55:29.1308173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1308558Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1308940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1309393Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1309594Z 
2025-08-26T20:55:29.1309704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1310086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1310425Z     return mod(**inputs)
2025-08-26T20:55:29.1310801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1311185Z     outputs = self.bert(
2025-08-26T20:55:29.1311557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1311956Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1312347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1312818Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1313201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1313607Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1314059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1314579Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1314985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1315403Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1315790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1316267Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1316719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1317143Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1317298Z 
2025-08-26T20:55:29.1317407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1317782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1318099Z     return mod(**inputs)
2025-08-26T20:55:29.1318446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1318821Z     outputs = self.bert(
2025-08-26T20:55:29.1319170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1319551Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1319926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1320364Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1320737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1321099Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1321475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1321868Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1322277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1322689Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1323165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1323644Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1324084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1324489Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1324641Z 
2025-08-26T20:55:29.1324751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1325129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1325468Z     return mod(**inputs)
2025-08-26T20:55:29.1325837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1326224Z     outputs = self.bert(
2025-08-26T20:55:29.1326582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1326967Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1327338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1327716Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1328064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1328476Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1328860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1329235Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1329635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1330048Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1330473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1330946Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1331380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1331814Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1332225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1332560Z     return self.act(input)
2025-08-26T20:55:29.1332670Z 
2025-08-26T20:55:29.1332778Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1333124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1333446Z     return mod(**inputs)
2025-08-26T20:55:29.1333823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1334218Z     outputs = self.bert(
2025-08-26T20:55:29.1334607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1335011Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1335409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1335812Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1336182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1336558Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1336963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1337400Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1337823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1338227Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1338655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1339146Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1339606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1340013Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1340159Z 
2025-08-26T20:55:29.1340269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1340643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1340978Z     return mod(**inputs)
2025-08-26T20:55:29.1341350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1341747Z     outputs = self.bert(
2025-08-26T20:55:29.1342123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1342533Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1343007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1343418Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1343788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1344190Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1344612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1345040Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1345441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1345832Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1346227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1346631Z     self_outputs = self.self(
2025-08-26T20:55:29.1347014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1347413Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1347799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1348378Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1348668Z 
2025-08-26T20:55:29.1348776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1349160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1349551Z     return mod(**inputs)
2025-08-26T20:55:29.1349959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1350357Z     outputs = self.bert(
2025-08-26T20:55:29.1350755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1351169Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1351563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1351970Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1352340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1352834Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1353251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1353665Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1354077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1354475Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1354878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1355280Z     self_outputs = self.self(
2025-08-26T20:55:29.1355670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1356065Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1356460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1356861Z     self.key(current_states)
2025-08-26T20:55:29.1356989Z 
2025-08-26T20:55:29.1357097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1357480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1357822Z     return mod(**inputs)
2025-08-26T20:55:29.1358240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1358635Z     outputs = self.bert(
2025-08-26T20:55:29.1359025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1359448Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1359856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1360266Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1360633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1361029Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1361446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1361879Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1362287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1362699Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1363063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1363465Z     self_outputs = self.self(
2025-08-26T20:55:29.1363849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1364224Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1364593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1364986Z     self.value(current_states)
2025-08-26T20:55:29.1365102Z 
2025-08-26T20:55:29.1365191Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1365429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1365781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1366100Z     return mod(**inputs)
2025-08-26T20:55:29.1366454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1366823Z     outputs = self.bert(
2025-08-26T20:55:29.1367163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1367592Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1367990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1368387Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1368749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1369120Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1369521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1369923Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1370321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1370681Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1371047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1371423Z     self_outputs = self.self(
2025-08-26T20:55:29.1371802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1372188Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1372564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1373061Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1373267Z 
2025-08-26T20:55:29.1373376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1373752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1374089Z     return mod(**inputs)
2025-08-26T20:55:29.1374453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1374848Z     outputs = self.bert(
2025-08-26T20:55:29.1375198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1375573Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1375933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1376305Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1376652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1377007Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1377381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1377758Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1378139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1378532Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1378958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1379411Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1379862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1380269Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1380413Z 
2025-08-26T20:55:29.1380529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1380901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1381225Z     return mod(**inputs)
2025-08-26T20:55:29.1381620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1382022Z     outputs = self.bert(
2025-08-26T20:55:29.1382390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1382793Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1383173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1383569Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1383940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1384318Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1384718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1385136Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1385559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1385972Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1386396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1386865Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1387358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1387773Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1387916Z 
2025-08-26T20:55:29.1388031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1388415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1388755Z     return mod(**inputs)
2025-08-26T20:55:29.1389142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1389531Z     outputs = self.bert(
2025-08-26T20:55:29.1389909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1390311Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1390717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1391116Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1391476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1391851Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1392249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1392769Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1393203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1393662Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1394129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1394608Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1395053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1395492Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1395891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1396240Z     return self.act(input)
2025-08-26T20:55:29.1396386Z 
2025-08-26T20:55:29.1396495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1396880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1397229Z     return mod(**inputs)
2025-08-26T20:55:29.1397611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1398005Z     outputs = self.bert(
2025-08-26T20:55:29.1398389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1398800Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1399211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1399608Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1399964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1400346Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1400756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1401174Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1401597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1402023Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1402502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1403007Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1403470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1403891Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1404046Z 
2025-08-26T20:55:29.1404158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1404542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1404888Z     return mod(**inputs)
2025-08-26T20:55:29.1405271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1405680Z     outputs = self.bert(
2025-08-26T20:55:29.1406066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1406478Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1406880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1407284Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1407658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1408050Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1408462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1408902Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1409307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1409713Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1410112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1410517Z     self_outputs = self.self(
2025-08-26T20:55:29.1410899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1411298Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1411723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1412263Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1412539Z 
2025-08-26T20:55:29.1412656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1413026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1413360Z     return mod(**inputs)
2025-08-26T20:55:29.1413735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1414127Z     outputs = self.bert(
2025-08-26T20:55:29.1414385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1414636Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1414909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1414985Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1415228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1415313Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1415575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1415732Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1415985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1416065Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1416317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1416400Z     self_outputs = self.self(
2025-08-26T20:55:29.1416649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1416726Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1416982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1417053Z     self.key(current_states)
2025-08-26T20:55:29.1417057Z 
2025-08-26T20:55:29.1417177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1417390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1417465Z     return mod(**inputs)
2025-08-26T20:55:29.1417720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1417788Z     outputs = self.bert(
2025-08-26T20:55:29.1418052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1418129Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1418392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1418489Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1418720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1418808Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1419061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1419153Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1419400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1419476Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1419757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1419829Z     self_outputs = self.self(
2025-08-26T20:55:29.1420087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1420157Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1420419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1420497Z     self.value(current_states)
2025-08-26T20:55:29.1420501Z 
2025-08-26T20:55:29.1420596Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1420711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1420915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1420988Z     return mod(**inputs)
2025-08-26T20:55:29.1421248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1421315Z     outputs = self.bert(
2025-08-26T20:55:29.1421578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1421655Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1421916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1421989Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1422268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1422349Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1422600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1422692Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1422949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1423024Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1423263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1423331Z     self_outputs = self.self(
2025-08-26T20:55:29.1423574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1423643Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1423887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1424020Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1424023Z 
2025-08-26T20:55:29.1424123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1424327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1424390Z     return mod(**inputs)
2025-08-26T20:55:29.1424636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1424718Z     outputs = self.bert(
2025-08-26T20:55:29.1424970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1425040Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1425282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1425356Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1425574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1425655Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1425912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1425992Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1426241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1426307Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1426558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1426689Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1426932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1427021Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1427025Z 
2025-08-26T20:55:29.1427125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1427330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1427392Z     return mod(**inputs)
2025-08-26T20:55:29.1427648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1427710Z     outputs = self.bert(
2025-08-26T20:55:29.1427955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1428067Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1428307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1428382Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1428597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1428673Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1428919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1429003Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1429263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1429336Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1429617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1429737Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1429976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1430063Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1430067Z 
2025-08-26T20:55:29.1430168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1430368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1430449Z     return mod(**inputs)
2025-08-26T20:55:29.1430700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1430772Z     outputs = self.bert(
2025-08-26T20:55:29.1431038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1431121Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1431374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1431446Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1431682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1431783Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1432031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1432119Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1432399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1432478Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1432834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1432975Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1433244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1433370Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1433600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1433673Z     return self.act(input)
2025-08-26T20:55:29.1433688Z 
2025-08-26T20:55:29.1433801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1434011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1434095Z     return mod(**inputs)
2025-08-26T20:55:29.1434382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1434457Z     outputs = self.bert(
2025-08-26T20:55:29.1434703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1434775Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1435023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1435096Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1435325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1435402Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1435642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1435728Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1435983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1436066Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1436335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1436466Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1436714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1436792Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1436812Z 
2025-08-26T20:55:29.1436923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1437112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1437181Z     return mod(**inputs)
2025-08-26T20:55:29.1437425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1437488Z     outputs = self.bert(
2025-08-26T20:55:29.1437736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1437806Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1438052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1438141Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1438359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1438446Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1438684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1438771Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1439010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1439087Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1439326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1439393Z     self_outputs = self.self(
2025-08-26T20:55:29.1439638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1439704Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1439955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1440162Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1440166Z 
2025-08-26T20:55:29.1440301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1440503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1440567Z     return mod(**inputs)
2025-08-26T20:55:29.1440819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1440882Z     outputs = self.bert(
2025-08-26T20:55:29.1441128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1441207Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1441447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1441523Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1441739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1441822Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1442063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1442141Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1442383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1442452Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1442696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1442782Z     self_outputs = self.self(
2025-08-26T20:55:29.1443016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1443090Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1443331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1443404Z     self.key(current_states)
2025-08-26T20:55:29.1443408Z 
2025-08-26T20:55:29.1443508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1443701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1443771Z     return mod(**inputs)
2025-08-26T20:55:29.1444013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1444104Z     outputs = self.bert(
2025-08-26T20:55:29.1444345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1444425Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1444662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1444729Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1444954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1445031Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1445275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1445353Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1445588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1445663Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1445910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1445990Z     self_outputs = self.self(
2025-08-26T20:55:29.1446236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1446348Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1446610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1446683Z     self.value(current_states)
2025-08-26T20:55:29.1446687Z 
2025-08-26T20:55:29.1446779Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1446886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1447099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1447168Z     return mod(**inputs)
2025-08-26T20:55:29.1447426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1447501Z     outputs = self.bert(
2025-08-26T20:55:29.1447756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1447842Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1448094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1448165Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1448409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1448486Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1448729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1448827Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1449064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1449138Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1449379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1449456Z     self_outputs = self.self(
2025-08-26T20:55:29.1449693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1449765Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1450006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1450161Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1450165Z 
2025-08-26T20:55:29.1450272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1450466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1450539Z     return mod(**inputs)
2025-08-26T20:55:29.1450786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1450856Z     outputs = self.bert(
2025-08-26T20:55:29.1451114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1451190Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1451444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1451521Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1451755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1451847Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1452107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1452203Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1452491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1452569Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1452826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1452962Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1453224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1453313Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1453316Z 
2025-08-26T20:55:29.1453428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1453635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1453702Z     return mod(**inputs)
2025-08-26T20:55:29.1453972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1454042Z     outputs = self.bert(
2025-08-26T20:55:29.1454314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1454388Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1454643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1454731Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1454947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1455049Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1455286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1455375Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1455631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1455706Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1455983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1456099Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1456366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1456444Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1456449Z 
2025-08-26T20:55:29.1456546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1456743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1456806Z     return mod(**inputs)
2025-08-26T20:55:29.1457057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1457130Z     outputs = self.bert(
2025-08-26T20:55:29.1457371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1457438Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1457669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1457746Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1457955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1458034Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1458267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1458345Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1458632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1458706Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1458975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1459092Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1459341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1459453Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1459666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1459743Z     return self.act(input)
2025-08-26T20:55:29.1459746Z 
2025-08-26T20:55:29.1459846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1460046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1460108Z     return mod(**inputs)
2025-08-26T20:55:29.1460348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1460419Z     outputs = self.bert(
2025-08-26T20:55:29.1460661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1460740Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1460981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1461071Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1461295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1461371Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1461622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1461705Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1461969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1462044Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1462331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1462467Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1462714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1462805Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1462809Z 
2025-08-26T20:55:29.1462915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1463116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1463191Z     return mod(**inputs)
2025-08-26T20:55:29.1463446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1463518Z     outputs = self.bert(
2025-08-26T20:55:29.1463772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1463845Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1464107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1464176Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1464396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1464502Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1464754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1464833Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1465062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1465136Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1465375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1465447Z     self_outputs = self.self(
2025-08-26T20:55:29.1465676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1465743Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1465987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1466192Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1466196Z 
2025-08-26T20:55:29.1466302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1466494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1466565Z     return mod(**inputs)
2025-08-26T20:55:29.1466809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1466872Z     outputs = self.bert(
2025-08-26T20:55:29.1467139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1467209Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1467454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1467524Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1467740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1467825Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1468062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1468172Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1468411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1468479Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1468724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1468790Z     self_outputs = self.self(
2025-08-26T20:55:29.1469033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1469099Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1469344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1469412Z     self.key(current_states)
2025-08-26T20:55:29.1469415Z 
2025-08-26T20:55:29.1469514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1469713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1469778Z     return mod(**inputs)
2025-08-26T20:55:29.1470027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1470090Z     outputs = self.bert(
2025-08-26T20:55:29.1470329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1470436Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1470677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1470752Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1470968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1471046Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1471308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1471390Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1471647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1471717Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1471979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1472051Z     self_outputs = self.self(
2025-08-26T20:55:29.1472300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1472378Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1472713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1472808Z     self.value(current_states)
2025-08-26T20:55:29.1472812Z 
2025-08-26T20:55:29.1472898Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1473176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1473425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1473494Z     return mod(**inputs)
2025-08-26T20:55:29.1473769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1473840Z     outputs = self.bert(
2025-08-26T20:55:29.1474104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1474191Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1474459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1474555Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1474778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1474863Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1475116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1475195Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1475439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1475505Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1475749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1475813Z     self_outputs = self.self(
2025-08-26T20:55:29.1476048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1476122Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1476359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1476498Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1476502Z 
2025-08-26T20:55:29.1476598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1476796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1476889Z     return mod(**inputs)
2025-08-26T20:55:29.1477129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1477197Z     outputs = self.bert(
2025-08-26T20:55:29.1477439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1477521Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1477761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1477831Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1478055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1478131Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1478386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1478465Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1478700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1478774Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1479014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1479147Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1479385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1479492Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1479495Z 
2025-08-26T20:55:29.1479593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1479785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1479855Z     return mod(**inputs)
2025-08-26T20:55:29.1480097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1480167Z     outputs = self.bert(
2025-08-26T20:55:29.1480408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1480499Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1480748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1480819Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1481041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1481117Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1481358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1481446Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1481700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1481781Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1482054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1482182Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1482423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1482502Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1482506Z 
2025-08-26T20:55:29.1482613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1482872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1482947Z     return mod(**inputs)
2025-08-26T20:55:29.1483202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1483267Z     outputs = self.bert(
2025-08-26T20:55:29.1483534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1483606Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1483851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1483920Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1484143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1484219Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1484458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1484545Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1484807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1484892Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1485181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1485302Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1485586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1485701Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1485930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1486002Z     return self.act(input)
2025-08-26T20:55:29.1486006Z 
2025-08-26T20:55:29.1486116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1486315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1486380Z     return mod(**inputs)
2025-08-26T20:55:29.1486650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1486732Z     outputs = self.bert(
2025-08-26T20:55:29.1486982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1487055Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1487292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1487369Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1487588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1487669Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1487908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1487988Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1488252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1488326Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1488605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1488736Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1489016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1489099Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1489103Z 
2025-08-26T20:55:29.1489204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1489405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1489466Z     return mod(**inputs)
2025-08-26T20:55:29.1489719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1489783Z     outputs = self.bert(
2025-08-26T20:55:29.1490027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1490105Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1490345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1490422Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1490635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1490711Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1490957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1491039Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1491279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1491375Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1491633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1491705Z     self_outputs = self.self(
2025-08-26T20:55:29.1491953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1492033Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1492288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1492510Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1492533Z 
2025-08-26T20:55:29.1492638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1492840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1492916Z     return mod(**inputs)
2025-08-26T20:55:29.1493174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1493245Z     outputs = self.bert(
2025-08-26T20:55:29.1493503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1493584Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1493837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1493910Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1494145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1494221Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1494465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1494545Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1494778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1494854Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1495125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1495201Z     self_outputs = self.self(
2025-08-26T20:55:29.1495437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1495503Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1495749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1495818Z     self.key(current_states)
2025-08-26T20:55:29.1495821Z 
2025-08-26T20:55:29.1495928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1496121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1496192Z     return mod(**inputs)
2025-08-26T20:55:29.1496435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1496499Z     outputs = self.bert(
2025-08-26T20:55:29.1496749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1496818Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1497067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1497141Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1497368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1497474Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1497724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1497811Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1498057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1498127Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1498384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1498453Z     self_outputs = self.self(
2025-08-26T20:55:29.1498705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1498795Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1499045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1499130Z     self.value(current_states)
2025-08-26T20:55:29.1499134Z 
2025-08-26T20:55:29.1499216Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1499328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1499529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1499600Z     return mod(**inputs)
2025-08-26T20:55:29.1499855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1499920Z     outputs = self.bert(
2025-08-26T20:55:29.1500184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1500259Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1500518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1500592Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1500817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1500903Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1501183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1501276Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1501526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1501595Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1501855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1501927Z     self_outputs = self.self(
2025-08-26T20:55:29.1502182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1502252Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1502511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1502652Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1502658Z 
2025-08-26T20:55:29.1502763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1502971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1503037Z     return mod(**inputs)
2025-08-26T20:55:29.1503303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1503371Z     outputs = self.bert(
2025-08-26T20:55:29.1503654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1503756Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1504019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1504100Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1504378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1504457Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1504731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1504813Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1505085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1505173Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1505445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1505582Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1505857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1505952Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1505956Z 
2025-08-26T20:55:29.1506060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1506288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1506355Z     return mod(**inputs)
2025-08-26T20:55:29.1506645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1506720Z     outputs = self.bert(
2025-08-26T20:55:29.1507016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1507098Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1507363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1507443Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1507751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1507831Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1508139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1508226Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1508508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1508591Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1508887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1509026Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1509285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1509380Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1509384Z 
2025-08-26T20:55:29.1509491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1509716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1509784Z     return mod(**inputs)
2025-08-26T20:55:29.1510069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1510148Z     outputs = self.bert(
2025-08-26T20:55:29.1510434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1510538Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1510798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1510871Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1511117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1511198Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1511465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1511549Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1511849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1511935Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1512232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1512367Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1512723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1512859Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1513089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1513161Z     return self.act(input)
2025-08-26T20:55:29.1513165Z 
2025-08-26T20:55:29.1513282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1513493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1513567Z     return mod(**inputs)
2025-08-26T20:55:29.1513829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1513900Z     outputs = self.bert(
2025-08-26T20:55:29.1514176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1514301Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1514700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1514780Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1515032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1515122Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1515379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1515470Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1515740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1515828Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1516129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1516268Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1516529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1516612Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1516616Z 
2025-08-26T20:55:29.1516732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1516956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1517022Z     return mod(**inputs)
2025-08-26T20:55:29.1517333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1517401Z     outputs = self.bert(
2025-08-26T20:55:29.1517672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1517748Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1518009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1518081Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1518328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1518442Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1518711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1518805Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1519060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1519128Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1519379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1519446Z     self_outputs = self.self(
2025-08-26T20:55:29.1519692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1519760Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1520001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1520216Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1520221Z 
2025-08-26T20:55:29.1520322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1520522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1520584Z     return mod(**inputs)
2025-08-26T20:55:29.1520885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1520952Z     outputs = self.bert(
2025-08-26T20:55:29.1521198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1521278Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1521516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1521594Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1521810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1521886Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1522135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1522216Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1522459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1522527Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1522766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1522842Z     self_outputs = self.self(
2025-08-26T20:55:29.1523075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1523149Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1523388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1523482Z     self.key(current_states)
2025-08-26T20:55:29.1523485Z 
2025-08-26T20:55:29.1523585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1523778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1523849Z     return mod(**inputs)
2025-08-26T20:55:29.1524094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1524162Z     outputs = self.bert(
2025-08-26T20:55:29.1524408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1524510Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1524755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1524825Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1525044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1525118Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1525359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1525445Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1525678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1525752Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1525988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1526063Z     self_outputs = self.self(
2025-08-26T20:55:29.1526295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1526362Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1526609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1526680Z     self.value(current_states)
2025-08-26T20:55:29.1526683Z 
2025-08-26T20:55:29.1526802Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1526903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1527095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1527165Z     return mod(**inputs)
2025-08-26T20:55:29.1527406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1527480Z     outputs = self.bert(
2025-08-26T20:55:29.1527720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1527795Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1528046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1528115Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1528341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1528418Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1528664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1528743Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1528990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1529067Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1529317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1529417Z     self_outputs = self.self(
2025-08-26T20:55:29.1529670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1529739Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1530010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1530151Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1530155Z 
2025-08-26T20:55:29.1530265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1530472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1530560Z     return mod(**inputs)
2025-08-26T20:55:29.1530825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1530889Z     outputs = self.bert(
2025-08-26T20:55:29.1531135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1531205Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1531448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1531517Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1531757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1531838Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1532074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1532162Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1532395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1532467Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1532726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1532891Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1533159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1533238Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1533241Z 
2025-08-26T20:55:29.1533346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1533539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1533604Z     return mod(**inputs)
2025-08-26T20:55:29.1533853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1533918Z     outputs = self.bert(
2025-08-26T20:55:29.1534166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1534236Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1534479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1534556Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1534771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1534855Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1535094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1535174Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1535461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1535537Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1535815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1535935Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1536180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1536259Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1536262Z 
2025-08-26T20:55:29.1536361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1537454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1537517Z     return mod(**inputs)
2025-08-26T20:55:29.1537769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1537835Z     outputs = self.bert(
2025-08-26T20:55:29.1538084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1538161Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1538394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1538481Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1538709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1538789Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1539052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1539137Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1539414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1539490Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1539851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1539977Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1540230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1540356Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1540577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1540657Z     return self.act(input)
2025-08-26T20:55:29.1540660Z 
2025-08-26T20:55:29.1540765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1540970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1541042Z     return mod(**inputs)
2025-08-26T20:55:29.1541297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1541373Z     outputs = self.bert(
2025-08-26T20:55:29.1541629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1541711Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1541966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1542038Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1542274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1542355Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1542637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1542720Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1542977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1543058Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1543331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1543468Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1543709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1543814Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1543817Z 
2025-08-26T20:55:29.1543919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1544111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1544182Z     return mod(**inputs)
2025-08-26T20:55:29.1544428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1544499Z     outputs = self.bert(
2025-08-26T20:55:29.1544739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1544813Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1545069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1545142Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1545374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1545456Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1545707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1545796Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1546078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1546159Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1546413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1546491Z     self_outputs = self.self(
2025-08-26T20:55:29.1546737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1546810Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1547069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:55:29.1547285Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:55:29.1547289Z 
2025-08-26T20:55:29.1547400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1547605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1547672Z     return mod(**inputs)
2025-08-26T20:55:29.1547936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1548000Z     outputs = self.bert(
2025-08-26T20:55:29.1548262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1548337Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1548592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1548690Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1548917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1549006Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1549259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1549349Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1549596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1549667Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1549959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1550034Z     self_outputs = self.self(
2025-08-26T20:55:29.1550319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1550392Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1550655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:55:29.1550742Z     self.key(current_states)
2025-08-26T20:55:29.1550745Z 
2025-08-26T20:55:29.1550855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1551076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1551145Z     return mod(**inputs)
2025-08-26T20:55:29.1551435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1551513Z     outputs = self.bert(
2025-08-26T20:55:29.1551801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1551888Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1552158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1552240Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1552507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1552659Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1552937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1553025Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1553298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1553376Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1553646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1553733Z     self_outputs = self.self(
2025-08-26T20:55:29.1553982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1554057Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1554292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:55:29.1554364Z     self.value(current_states)
2025-08-26T20:55:29.1554376Z 
2025-08-26T20:55:29.1554453Z cudagraph partition due to non gpu ops
2025-08-26T20:55:29.1554552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1554747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1554810Z     return mod(**inputs)
2025-08-26T20:55:29.1555055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1555142Z     outputs = self.bert(
2025-08-26T20:55:29.1555388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1555463Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1555739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1555819Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1556063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1556143Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1556445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1556535Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1556806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1556884Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1557155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:55:29.1557245Z     self_outputs = self.self(
2025-08-26T20:55:29.1557504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1557586Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1557856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:55:29.1558016Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:29.1558021Z 
2025-08-26T20:55:29.1558134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1558357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1558442Z     return mod(**inputs)
2025-08-26T20:55:29.1558711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1558790Z     outputs = self.bert(
2025-08-26T20:55:29.1559091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1559172Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1559452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1559527Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1559774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1559859Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1560145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:55:29.1560239Z     self_attention_outputs = self.attention(
2025-08-26T20:55:29.1560507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:55:29.1560589Z     return func(*args, **kwargs)
2025-08-26T20:55:29.1560856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:55:29.1560999Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:29.1561262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:55:29.1561350Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1561354Z 
2025-08-26T20:55:29.1561469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1561707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1561779Z     return mod(**inputs)
2025-08-26T20:55:29.1562035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1562104Z     outputs = self.bert(
2025-08-26T20:55:29.1562370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1562445Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1562703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1562774Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1563040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1563122Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1563360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1563448Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1563701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1563784Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1564056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1564172Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1564415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:55:29.1564496Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1564499Z 
2025-08-26T20:55:29.1564605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1564794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1564855Z     return mod(**inputs)
2025-08-26T20:55:29.1565103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1565197Z     outputs = self.bert(
2025-08-26T20:55:29.1565452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1565523Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1565769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1565840Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1566055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1566139Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1566379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1566466Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1566721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1566794Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1567073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:55:29.1567190Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:29.1567435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:55:29.1567548Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:29.1567764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:29.1567853Z     return self.act(input)
2025-08-26T20:55:29.1567857Z 
2025-08-26T20:55:29.1567958Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1568158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1568223Z     return mod(**inputs)
2025-08-26T20:55:29.1568480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:55:29.1568547Z     outputs = self.bert(
2025-08-26T20:55:29.1568808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:55:29.1568908Z     encoder_outputs = self.encoder(
2025-08-26T20:55:29.1569160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:55:29.1569241Z     layer_outputs = layer_module(
2025-08-26T20:55:29.1569468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:29.1569549Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:29.1569814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:55:29.1569898Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:29.1570174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:29.1570250Z     return forward_fn(*input_tensors)
2025-08-26T20:55:29.1570545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:55:29.1570679Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:29.1570921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:55:29.1571010Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1571014Z 
2025-08-26T20:55:29.1571119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1571360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1571429Z     return mod(**inputs)
2025-08-26T20:55:29.1571685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-26T20:55:29.1571789Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:55:29.1572043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-26T20:55:29.1572168Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:55:29.1572420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 769, in forward
2025-08-26T20:55:29.1572518Z     hidden_states = self.transform(hidden_states)
2025-08-26T20:55:29.1572754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 745, in forward
2025-08-26T20:55:29.1572835Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:29.1572838Z 
2025-08-26T20:55:29.1572948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:29.1573137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:29.1573208Z     return mod(**inputs)
2025-08-26T20:55:29.1573446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-26T20:55:29.1573537Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:55:29.1573781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-26T20:55:29.1573915Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:55:29.1574159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 770, in forward
2025-08-26T20:55:29.1574249Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:55:29.1574255Z 
2025-08-26T20:55:38.4365908Z Compilation time (from dynamo_timed): 23.55360213
2025-08-26T20:55:38.4612168Z pass
2025-08-26T20:55:38.4612620Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:38.4613537Z TIMING: _recursive_pre_grad_passes:0.00763 _recursive_joint_graph_passes:0.48299 _recursive_post_grad_passes:0.07544 async_compile.wait:0.8194 code_gen:7.83785 inductor_compile:10.94616 backend_compile:18.75111 gc:0.00019 entire_frame_compile:23.5536 total_wall_time:23.5536
2025-08-26T20:55:38.4615353Z STATS: call_* op count: 286 | FakeTensorMode.__torch_dispatch__:12425 | attempt fast:54 | fast is_contiguous:50 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:4243 | ProxyTorchDispatchMode.__torch_dispatch__:4433
2025-08-26T20:55:38.4616030Z Dynamo produced 1 graphs covering 286 ops with 0 graph breaks (0 unique)
2025-08-26T20:55:43.4200468Z 
2025-08-26T20:55:48.7567612Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:55:48.7571756Z loading model: 0it [00:05, ?it/s]
2025-08-26T20:55:48.7593827Z cpu  eval  hf_Bert_large                      
2025-08-26T20:55:52.3302564Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:53.9972510Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:55.6521233Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:24.3872375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3876162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3876634Z     return mod(**inputs)
2025-08-26T20:56:24.3877239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3877732Z     outputs = self.bert(
2025-08-26T20:56:24.3878572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward
2025-08-26T20:56:24.3879015Z     embedding_output = self.embeddings(
2025-08-26T20:56:24.3879427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 187, in forward
2025-08-26T20:56:24.3879889Z     embeddings += position_embeddings
2025-08-26T20:56:24.3880042Z 
2025-08-26T20:56:24.3880138Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3880368Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3880577Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3880796Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3881014Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3881236Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3881453Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3881670Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3881887Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3882103Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3882318Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3882541Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3882761Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3883029Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3883239Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3883462Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3883673Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3883906Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3884178Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3884383Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3884588Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3884797Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3885011Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3885219Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3885467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3885848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3886190Z     return mod(**inputs)
2025-08-26T20:56:24.3886570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3887040Z     outputs = self.bert(
2025-08-26T20:56:24.3887423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3887850Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3888252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3888666Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3889043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3889439Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3889853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3890271Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3890670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3891075Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3891469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.3891875Z     self_outputs = self.self(
2025-08-26T20:56:24.3892263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3892660Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3893104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.3893672Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.3893955Z 
2025-08-26T20:56:24.3894082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3894465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3894811Z     return mod(**inputs)
2025-08-26T20:56:24.3895189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3895588Z     outputs = self.bert(
2025-08-26T20:56:24.3895974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3896380Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3896779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3897184Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3897548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3897921Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3898378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3898806Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3899224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3899648Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3900020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.3900389Z     self_outputs = self.self(
2025-08-26T20:56:24.3900745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3901113Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3901492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.3901889Z     self.key(current_states)
2025-08-26T20:56:24.3902041Z 
2025-08-26T20:56:24.3902154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3902537Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3902882Z     return mod(**inputs)
2025-08-26T20:56:24.3903447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3903841Z     outputs = self.bert(
2025-08-26T20:56:24.3904201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3904625Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3905027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3905415Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3905784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3906164Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3906575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3907002Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3907402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3907789Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3908216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.3908625Z     self_outputs = self.self(
2025-08-26T20:56:24.3909006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3909405Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3909803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.3910223Z     self.value(current_states)
2025-08-26T20:56:24.3910356Z 
2025-08-26T20:56:24.3910453Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3910707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3911095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3911445Z     return mod(**inputs)
2025-08-26T20:56:24.3911836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3912235Z     outputs = self.bert(
2025-08-26T20:56:24.3912681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3913102Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3913504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3913915Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3914283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3914877Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3915293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3915721Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3916133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3916528Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3916924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.3917331Z     self_outputs = self.self(
2025-08-26T20:56:24.3917761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3918148Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3918546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.3919014Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.3919214Z 
2025-08-26T20:56:24.3919337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3919728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3920067Z     return mod(**inputs)
2025-08-26T20:56:24.3920451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3920853Z     outputs = self.bert(
2025-08-26T20:56:24.3921232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3921643Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3922011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3922390Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3922753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3923124Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3923554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3923943Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3924319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3924686Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3925046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.3925469Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.3925900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.3926310Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.3926455Z 
2025-08-26T20:56:24.3926571Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3926942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3927281Z     return mod(**inputs)
2025-08-26T20:56:24.3927655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3928024Z     outputs = self.bert(
2025-08-26T20:56:24.3928373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3928742Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3929159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3929555Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3929918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3930298Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3930695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.3931111Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.3931548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.3931991Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.3932427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.3932921Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.3933374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.3933771Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.3933911Z 
2025-08-26T20:56:24.3934029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3934388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3934724Z     return mod(**inputs)
2025-08-26T20:56:24.3935095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3935493Z     outputs = self.bert(
2025-08-26T20:56:24.3935873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3936336Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3936761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3937177Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3937554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3937989Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3938424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.3938848Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.3939283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.3939703Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.3940132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.3940634Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.3941095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.3941547Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.3941952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.3942303Z     return self.act(input)
2025-08-26T20:56:24.3942427Z 
2025-08-26T20:56:24.3942536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3942916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3943257Z     return mod(**inputs)
2025-08-26T20:56:24.3943624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3944028Z     outputs = self.bert(
2025-08-26T20:56:24.3944396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3944809Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3945206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3945595Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3945961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3946340Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3946746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.3947181Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.3947595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.3948015Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.3948458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.3948958Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.3949422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.3949834Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.3949999Z 
2025-08-26T20:56:24.3950110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3950486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3950824Z     return mod(**inputs)
2025-08-26T20:56:24.3951185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3951586Z     outputs = self.bert(
2025-08-26T20:56:24.3951957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3952369Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3953023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3953439Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3953834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3954226Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3954642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3955081Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3955496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3955911Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3956320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.3956740Z     self_outputs = self.self(
2025-08-26T20:56:24.3957139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3957564Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3957972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.3958539Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.3958833Z 
2025-08-26T20:56:24.3958952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3959336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3959706Z     return mod(**inputs)
2025-08-26T20:56:24.3960091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3960497Z     outputs = self.bert(
2025-08-26T20:56:24.3960880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3961298Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3961710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3962116Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3962513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3962896Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3963311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3963734Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3964142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3964562Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3964948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.3965368Z     self_outputs = self.self(
2025-08-26T20:56:24.3965755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3966154Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3966550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.3966947Z     self.key(current_states)
2025-08-26T20:56:24.3967077Z 
2025-08-26T20:56:24.3967190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3967582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3967921Z     return mod(**inputs)
2025-08-26T20:56:24.3968323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3968717Z     outputs = self.bert(
2025-08-26T20:56:24.3969087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3969501Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3969893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3970286Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3970651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3971031Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3971434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3971849Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3972242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3972629Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3973023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.3973433Z     self_outputs = self.self(
2025-08-26T20:56:24.3973813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3974211Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3974606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.3974998Z     self.value(current_states)
2025-08-26T20:56:24.3975119Z 
2025-08-26T20:56:24.3975207Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.3975451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3975831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3976172Z     return mod(**inputs)
2025-08-26T20:56:24.3976541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3976926Z     outputs = self.bert(
2025-08-26T20:56:24.3977314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3977712Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3978104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3978495Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3978848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3979227Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3979626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3980030Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3980420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3980808Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3981191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.3981584Z     self_outputs = self.self(
2025-08-26T20:56:24.3981959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3982335Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3982760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.3983222Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.3983415Z 
2025-08-26T20:56:24.3983531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3983907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3984233Z     return mod(**inputs)
2025-08-26T20:56:24.3984609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3984996Z     outputs = self.bert(
2025-08-26T20:56:24.3985367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3985758Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3986147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3986549Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3986912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3987287Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3987678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.3988086Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.3988481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.3988893Z     return func(*args, **kwargs)
2025-08-26T20:56:24.3989274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.3989735Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.3990190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.3990604Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.3990749Z 
2025-08-26T20:56:24.3990865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3991231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3991569Z     return mod(**inputs)
2025-08-26T20:56:24.3991974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.3992375Z     outputs = self.bert(
2025-08-26T20:56:24.3992849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.3993269Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.3993748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.3994160Z     layer_outputs = layer_module(
2025-08-26T20:56:24.3994505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.3994852Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.3995226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.3995626Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.3996050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.3996516Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.3996950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.3997439Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.3997910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.3998326Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.3998471Z 
2025-08-26T20:56:24.3998588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.3998957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.3999301Z     return mod(**inputs)
2025-08-26T20:56:24.3999675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4000072Z     outputs = self.bert(
2025-08-26T20:56:24.4000436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4000836Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4001234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4001611Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4001989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4002361Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4002763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4003175Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4003596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4004032Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4004454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4004933Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4005384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4005825Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4006224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4006576Z     return self.act(input)
2025-08-26T20:56:24.4006719Z 
2025-08-26T20:56:24.4006827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4007201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4007540Z     return mod(**inputs)
2025-08-26T20:56:24.4007904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4008293Z     outputs = self.bert(
2025-08-26T20:56:24.4008662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4009118Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4009509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4009893Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4010260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4010636Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4011034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4011436Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4011854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4012264Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4012722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4013214Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4013668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4014074Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4014223Z 
2025-08-26T20:56:24.4014333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4014878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4015222Z     return mod(**inputs)
2025-08-26T20:56:24.4015587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4015977Z     outputs = self.bert(
2025-08-26T20:56:24.4016351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4016751Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4017137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4017512Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4017857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4018222Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4018600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4019028Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4019405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4019776Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4020135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4020505Z     self_outputs = self.self(
2025-08-26T20:56:24.4020852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4021217Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4021610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4022130Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4022391Z 
2025-08-26T20:56:24.4022495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4022852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4023169Z     return mod(**inputs)
2025-08-26T20:56:24.4023530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4023904Z     outputs = self.bert(
2025-08-26T20:56:24.4024250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4024633Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4025011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4025390Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4025740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4026089Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4026467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4026908Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4027287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4027646Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4028010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4028405Z     self_outputs = self.self(
2025-08-26T20:56:24.4028779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4029138Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4029493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4029866Z     self.key(current_states)
2025-08-26T20:56:24.4029991Z 
2025-08-26T20:56:24.4030099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4030478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4030808Z     return mod(**inputs)
2025-08-26T20:56:24.4031179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4031574Z     outputs = self.bert(
2025-08-26T20:56:24.4031948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4032356Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4032814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4033248Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4033626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4034027Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4034423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4034832Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4035235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4035647Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4036051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4036462Z     self_outputs = self.self(
2025-08-26T20:56:24.4036862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4037266Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4037662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4038070Z     self.value(current_states)
2025-08-26T20:56:24.4038198Z 
2025-08-26T20:56:24.4038288Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4038548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4038948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4039313Z     return mod(**inputs)
2025-08-26T20:56:24.4039695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4040097Z     outputs = self.bert(
2025-08-26T20:56:24.4040492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4040971Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4041377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4041825Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4042190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4042578Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4042977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4043389Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4043797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4044191Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4044573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4044943Z     self_outputs = self.self(
2025-08-26T20:56:24.4045300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4045658Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4046007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4046433Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4046612Z 
2025-08-26T20:56:24.4046721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4047072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4047392Z     return mod(**inputs)
2025-08-26T20:56:24.4047761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4048133Z     outputs = self.bert(
2025-08-26T20:56:24.4048472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4048857Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4049247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4049649Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4050007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4050385Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4050762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4051145Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4051520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4051878Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4052241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4052669Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4053102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4053488Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4053625Z 
2025-08-26T20:56:24.4053731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4054088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4054399Z     return mod(**inputs)
2025-08-26T20:56:24.4054750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4055118Z     outputs = self.bert(
2025-08-26T20:56:24.4055459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4055867Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4056240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4056611Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4056945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4057303Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4057676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4058063Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4058463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4058846Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4059251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4059703Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4060146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4060552Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4060698Z 
2025-08-26T20:56:24.4060807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4061177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4061531Z     return mod(**inputs)
2025-08-26T20:56:24.4061891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4062250Z     outputs = self.bert(
2025-08-26T20:56:24.4062598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4062972Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4063340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4063713Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4064048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4065199Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4065600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4066023Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4066423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4066823Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4067255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4067731Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4068171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4068617Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4069016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4069372Z     return self.act(input)
2025-08-26T20:56:24.4069490Z 
2025-08-26T20:56:24.4069608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4069986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4070320Z     return mod(**inputs)
2025-08-26T20:56:24.4070739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4071134Z     outputs = self.bert(
2025-08-26T20:56:24.4071504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4071917Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4072302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4072793Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4073174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4073572Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4073979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4074405Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4074805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4075195Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4075608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4076090Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4076529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4076945Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4077083Z 
2025-08-26T20:56:24.4077196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4077559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4077878Z     return mod(**inputs)
2025-08-26T20:56:24.4078240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4078619Z     outputs = self.bert(
2025-08-26T20:56:24.4078997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4079397Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4079809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4080208Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4080561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4080935Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4081330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4081747Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4082153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4082548Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4082937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4083337Z     self_outputs = self.self(
2025-08-26T20:56:24.4083725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4084125Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4084518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4085057Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4085343Z 
2025-08-26T20:56:24.4085494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4085878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4086220Z     return mod(**inputs)
2025-08-26T20:56:24.4086596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4086984Z     outputs = self.bert(
2025-08-26T20:56:24.4087356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4087777Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4088172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4088568Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4088934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4089313Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4089719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4090136Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4090527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4090917Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4091299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4091713Z     self_outputs = self.self(
2025-08-26T20:56:24.4092087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4092474Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4092856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4093252Z     self.key(current_states)
2025-08-26T20:56:24.4093372Z 
2025-08-26T20:56:24.4093488Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4093854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4094196Z     return mod(**inputs)
2025-08-26T20:56:24.4094582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4094975Z     outputs = self.bert(
2025-08-26T20:56:24.4095356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4095767Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4096166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4096569Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4096941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4097318Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4097700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4098087Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4118752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4119355Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4119842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4120239Z     self_outputs = self.self(
2025-08-26T20:56:24.4120794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4121174Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4121553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4121929Z     self.value(current_states)
2025-08-26T20:56:24.4122066Z 
2025-08-26T20:56:24.4122153Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4122411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4122782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4123103Z     return mod(**inputs)
2025-08-26T20:56:24.4123477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4123856Z     outputs = self.bert(
2025-08-26T20:56:24.4124213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4124599Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4124974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4125352Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4125704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4126068Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4126455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4126872Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4127248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4127611Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4127968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4128324Z     self_outputs = self.self(
2025-08-26T20:56:24.4128672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4129028Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4129379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4129846Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4130026Z 
2025-08-26T20:56:24.4130131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4130488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4130804Z     return mod(**inputs)
2025-08-26T20:56:24.4131157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4131511Z     outputs = self.bert(
2025-08-26T20:56:24.4131857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4132224Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4132594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4132965Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4133296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4133654Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4134026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4134406Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4134826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4135179Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4135532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4135952Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4136367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4136740Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4136884Z 
2025-08-26T20:56:24.4136990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4137346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4137666Z     return mod(**inputs)
2025-08-26T20:56:24.4138025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4138391Z     outputs = self.bert(
2025-08-26T20:56:24.4138748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4139128Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4139501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4139883Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4140212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4140593Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4140971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4141352Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4141749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4142146Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4142554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4143012Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4143460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4143844Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4143990Z 
2025-08-26T20:56:24.4144094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4144458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4144817Z     return mod(**inputs)
2025-08-26T20:56:24.4145201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4145567Z     outputs = self.bert(
2025-08-26T20:56:24.4145920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4146301Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4146677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4147056Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4147422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4147810Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4148242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4148661Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4149114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4149537Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4149970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4150462Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4150906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4151342Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4151741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4152111Z     return self.act(input)
2025-08-26T20:56:24.4152234Z 
2025-08-26T20:56:24.4152356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4152836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4153198Z     return mod(**inputs)
2025-08-26T20:56:24.4153587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4154003Z     outputs = self.bert(
2025-08-26T20:56:24.4154380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4154779Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4155175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4155594Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4155964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4156334Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4156740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4157151Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4157571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4158004Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4158436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4158940Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4159406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4159831Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4159980Z 
2025-08-26T20:56:24.4160108Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4160485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4160833Z     return mod(**inputs)
2025-08-26T20:56:24.4161216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4161615Z     outputs = self.bert(
2025-08-26T20:56:24.4161988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4162397Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4162797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4163199Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4163568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4163979Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4164381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4164788Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4165191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4165580Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4165958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4166360Z     self_outputs = self.self(
2025-08-26T20:56:24.4166739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4167127Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4167504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4168054Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4168344Z 
2025-08-26T20:56:24.4168448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4168808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4169129Z     return mod(**inputs)
2025-08-26T20:56:24.4169483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4169894Z     outputs = self.bert(
2025-08-26T20:56:24.4170263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4170645Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4171017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4171384Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4171727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4172104Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4172503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4172924Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4173321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4173717Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4174079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4174450Z     self_outputs = self.self(
2025-08-26T20:56:24.4174800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4175182Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4175567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4175959Z     self.key(current_states)
2025-08-26T20:56:24.4176078Z 
2025-08-26T20:56:24.4176197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4176566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4176903Z     return mod(**inputs)
2025-08-26T20:56:24.4177279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4177671Z     outputs = self.bert(
2025-08-26T20:56:24.4178041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4178452Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4178835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4179224Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4179577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4179945Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4180361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4180784Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4181193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4181592Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4181984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4182371Z     self_outputs = self.self(
2025-08-26T20:56:24.4182754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4183158Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4183582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4183967Z     self.value(current_states)
2025-08-26T20:56:24.4184092Z 
2025-08-26T20:56:24.4184177Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4184453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4184822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4185181Z     return mod(**inputs)
2025-08-26T20:56:24.4185558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4185953Z     outputs = self.bert(
2025-08-26T20:56:24.4186323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4186728Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4187177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4187606Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4187968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4188354Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4188776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4189197Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4189607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4189997Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4190380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4190779Z     self_outputs = self.self(
2025-08-26T20:56:24.4191157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4191534Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4191918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4192381Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4192675Z 
2025-08-26T20:56:24.4192848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4193306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4193651Z     return mod(**inputs)
2025-08-26T20:56:24.4194039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4194443Z     outputs = self.bert(
2025-08-26T20:56:24.4194813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4195211Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4195595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4195991Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4196349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4196722Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4197127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4197510Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4197882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4198247Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4198607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4199030Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4199479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4199875Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4200015Z 
2025-08-26T20:56:24.4200129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4200512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4200849Z     return mod(**inputs)
2025-08-26T20:56:24.4201226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4201605Z     outputs = self.bert(
2025-08-26T20:56:24.4201966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4202357Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4202727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4203103Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4203443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4203797Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4204166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4204553Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4204953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4205341Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4205748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4206191Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4206623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4207002Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4207136Z 
2025-08-26T20:56:24.4207245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4207622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4207946Z     return mod(**inputs)
2025-08-26T20:56:24.4208302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4208673Z     outputs = self.bert(
2025-08-26T20:56:24.4209029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4209404Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4209783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4210157Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4210504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4210863Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4211238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4211647Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4212080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4212471Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4212867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4213333Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4213744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4214158Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4214711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4215050Z     return self.act(input)
2025-08-26T20:56:24.4215171Z 
2025-08-26T20:56:24.4215275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4215631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4215949Z     return mod(**inputs)
2025-08-26T20:56:24.4216338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4216706Z     outputs = self.bert(
2025-08-26T20:56:24.4217057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4217434Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4217806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4218183Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4218521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4218870Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4219239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4219615Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4219997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4220389Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4220793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4221249Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4221722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4222102Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4222245Z 
2025-08-26T20:56:24.4222348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4222705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4223029Z     return mod(**inputs)
2025-08-26T20:56:24.4223377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4223750Z     outputs = self.bert(
2025-08-26T20:56:24.4224104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4224482Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4224859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4225236Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4225571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4225917Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4226285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4226663Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4227040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4227512Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4227905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4228307Z     self_outputs = self.self(
2025-08-26T20:56:24.4228678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4229076Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4229459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4229999Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4230294Z 
2025-08-26T20:56:24.4230409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4230782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4231150Z     return mod(**inputs)
2025-08-26T20:56:24.4231549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4231964Z     outputs = self.bert(
2025-08-26T20:56:24.4232338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4232859Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4233273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4233681Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4234065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4234412Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4234796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4235172Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4235543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4235902Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4236293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4236665Z     self_outputs = self.self(
2025-08-26T20:56:24.4237021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4237385Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4237739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4238116Z     self.key(current_states)
2025-08-26T20:56:24.4238236Z 
2025-08-26T20:56:24.4238341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4238693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4239007Z     return mod(**inputs)
2025-08-26T20:56:24.4239354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4239721Z     outputs = self.bert(
2025-08-26T20:56:24.4240069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4240451Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4240834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4241222Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4241586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4241985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4242391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4242807Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4243207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4243574Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4243939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4244314Z     self_outputs = self.self(
2025-08-26T20:56:24.4244660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4245043Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4245401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4245776Z     self.value(current_states)
2025-08-26T20:56:24.4245891Z 
2025-08-26T20:56:24.4245979Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4246210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4246568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4246887Z     return mod(**inputs)
2025-08-26T20:56:24.4247242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4247606Z     outputs = self.bert(
2025-08-26T20:56:24.4247957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4248336Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4248707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4249082Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4249419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4249777Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4250203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4250586Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4250954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4251323Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4251688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4252056Z     self_outputs = self.self(
2025-08-26T20:56:24.4252407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4252783Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4253164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4253624Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4253817Z 
2025-08-26T20:56:24.4253933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4254309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4254636Z     return mod(**inputs)
2025-08-26T20:56:24.4255009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4255378Z     outputs = self.bert(
2025-08-26T20:56:24.4255744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4256149Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4256540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4256939Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4257302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4257676Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4258065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4258465Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4258881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4259274Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4259646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4260096Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4260541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4260959Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4261103Z 
2025-08-26T20:56:24.4261216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4261580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4261915Z     return mod(**inputs)
2025-08-26T20:56:24.4262283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4262675Z     outputs = self.bert(
2025-08-26T20:56:24.4263043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4263435Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4263823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4264216Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4264613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4264986Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4265384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4265793Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4266219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4266633Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4267057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4267533Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4267981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4268388Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4268531Z 
2025-08-26T20:56:24.4268646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4269018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4269363Z     return mod(**inputs)
2025-08-26T20:56:24.4269748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4270150Z     outputs = self.bert(
2025-08-26T20:56:24.4270524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4270956Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4271358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4271766Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4272142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4272523Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4273054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4273511Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4273945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4274372Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4274804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4275298Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4275758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4276209Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4276620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4276978Z     return self.act(input)
2025-08-26T20:56:24.4277108Z 
2025-08-26T20:56:24.4277219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4277611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4277957Z     return mod(**inputs)
2025-08-26T20:56:24.4278333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4278734Z     outputs = self.bert(
2025-08-26T20:56:24.4279113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4279574Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4279982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4280391Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4280755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4281133Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4281532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4281931Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4282329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4282717Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4283126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4283587Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4284014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4284406Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4284551Z 
2025-08-26T20:56:24.4284655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4285023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4285382Z     return mod(**inputs)
2025-08-26T20:56:24.4285759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4286165Z     outputs = self.bert(
2025-08-26T20:56:24.4286549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4286952Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4287317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4287690Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4288035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4288416Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4288796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4289257Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4289633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4289710Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4289956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4290026Z     self_outputs = self.self(
2025-08-26T20:56:24.4290270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4290338Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4290585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4290794Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4290799Z 
2025-08-26T20:56:24.4290907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4291102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4291165Z     return mod(**inputs)
2025-08-26T20:56:24.4291448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4291515Z     outputs = self.bert(
2025-08-26T20:56:24.4291769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4291842Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4292085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4292167Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4292390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4292474Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4292719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4292801Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4293052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4293121Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4293373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4293442Z     self_outputs = self.self(
2025-08-26T20:56:24.4293682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4293759Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4294015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4294091Z     self.key(current_states)
2025-08-26T20:56:24.4294095Z 
2025-08-26T20:56:24.4294198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4294400Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4294464Z     return mod(**inputs)
2025-08-26T20:56:24.4294704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4294774Z     outputs = self.bert(
2025-08-26T20:56:24.4295012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4295115Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4295362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4295437Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4295679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4295760Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4296023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4296106Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4296354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4296428Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4296682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4296756Z     self_outputs = self.self(
2025-08-26T20:56:24.4296991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4297066Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4297305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4297374Z     self.value(current_states)
2025-08-26T20:56:24.4297407Z 
2025-08-26T20:56:24.4297496Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4297597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4297807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4297871Z     return mod(**inputs)
2025-08-26T20:56:24.4298128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4298204Z     outputs = self.bert(
2025-08-26T20:56:24.4298461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4298545Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4298799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4298872Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4299113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4299193Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4299454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4299538Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4299795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4299867Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4300135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4300214Z     self_outputs = self.self(
2025-08-26T20:56:24.4300460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4300541Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4300793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4300934Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4300937Z 
2025-08-26T20:56:24.4301052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4301286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4301360Z     return mod(**inputs)
2025-08-26T20:56:24.4301617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4301684Z     outputs = self.bert(
2025-08-26T20:56:24.4301949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4302024Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4302287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4302359Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4302595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4302674Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4302929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4303022Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4303270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4303347Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4303599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4303766Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4304027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4304113Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4304117Z 
2025-08-26T20:56:24.4304230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4304436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4304505Z     return mod(**inputs)
2025-08-26T20:56:24.4304771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4304846Z     outputs = self.bert(
2025-08-26T20:56:24.4305101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4305182Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4305445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4305519Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4305727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4305800Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4306039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4306122Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4306423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4306498Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4306776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4306903Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4307144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4307230Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4307234Z 
2025-08-26T20:56:24.4307333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4307549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4307612Z     return mod(**inputs)
2025-08-26T20:56:24.4307855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4307927Z     outputs = self.bert(
2025-08-26T20:56:24.4308168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4308250Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4308493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4309052Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4309288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4309371Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4309632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4309720Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4309990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4310077Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4310399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4310534Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4310787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4310908Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4311133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4311203Z     return self.act(input)
2025-08-26T20:56:24.4311207Z 
2025-08-26T20:56:24.4311323Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4311528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4311600Z     return mod(**inputs)
2025-08-26T20:56:24.4311862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4311929Z     outputs = self.bert(
2025-08-26T20:56:24.4312194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4312268Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4312526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4312690Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4313002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4313123Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4313384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4313481Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4313760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4313848Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4314143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4314288Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4314704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4314792Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4314799Z 
2025-08-26T20:56:24.4314910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4315103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4315173Z     return mod(**inputs)
2025-08-26T20:56:24.4315419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4315483Z     outputs = self.bert(
2025-08-26T20:56:24.4315734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4315806Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4316052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4316124Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4316347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4316432Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4316666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4316754Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4317056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4317126Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4317379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4317447Z     self_outputs = self.self(
2025-08-26T20:56:24.4317691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4317758Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4317995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4318209Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4318212Z 
2025-08-26T20:56:24.4318315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4318518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4318582Z     return mod(**inputs)
2025-08-26T20:56:24.4318834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4318897Z     outputs = self.bert(
2025-08-26T20:56:24.4319139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4319222Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4319459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4319572Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4319787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4319860Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4320111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4320187Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4320430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4320496Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4320762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4320829Z     self_outputs = self.self(
2025-08-26T20:56:24.4321063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4321136Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4321374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4321452Z     self.key(current_states)
2025-08-26T20:56:24.4321455Z 
2025-08-26T20:56:24.4321555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4321746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4321819Z     return mod(**inputs)
2025-08-26T20:56:24.4322061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4322133Z     outputs = self.bert(
2025-08-26T20:56:24.4322375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4322448Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4322694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4322762Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4323040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4323121Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4323369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4323445Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4323680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4323755Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4323994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4324068Z     self_outputs = self.self(
2025-08-26T20:56:24.4324300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4324369Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4324615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4324684Z     self.value(current_states)
2025-08-26T20:56:24.4324688Z 
2025-08-26T20:56:24.4324775Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4324875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4325066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4325135Z     return mod(**inputs)
2025-08-26T20:56:24.4325374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4325461Z     outputs = self.bert(
2025-08-26T20:56:24.4325704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4325782Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4326027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4326097Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4326325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4326399Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4326662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4326739Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4326974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4327046Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4327285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4327360Z     self_outputs = self.self(
2025-08-26T20:56:24.4327598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4327663Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4327911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4328045Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4328049Z 
2025-08-26T20:56:24.4328155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4328348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4328418Z     return mod(**inputs)
2025-08-26T20:56:24.4328661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4328724Z     outputs = self.bert(
2025-08-26T20:56:24.4329005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4329077Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4329326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4329395Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4329613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4329697Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4329938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4330024Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4330259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4330328Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4330577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4330705Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4330950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4331033Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4331037Z 
2025-08-26T20:56:24.4331142Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4331352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4331415Z     return mod(**inputs)
2025-08-26T20:56:24.4331665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4331730Z     outputs = self.bert(
2025-08-26T20:56:24.4331981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4332051Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4332289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4332386Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4332602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4332683Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4332926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4333007Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4333276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4333351Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4333633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4333751Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4333997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4334078Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4334082Z 
2025-08-26T20:56:24.4334182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4334383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4334446Z     return mod(**inputs)
2025-08-26T20:56:24.4334698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4334792Z     outputs = self.bert(
2025-08-26T20:56:24.4335036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4335113Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4335353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4335429Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4335646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4335731Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4335971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4336051Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4336314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4336389Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4336666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4336784Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4337025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4337142Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4337371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4337447Z     return self.act(input)
2025-08-26T20:56:24.4337450Z 
2025-08-26T20:56:24.4337548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4337749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4337813Z     return mod(**inputs)
2025-08-26T20:56:24.4338054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4338123Z     outputs = self.bert(
2025-08-26T20:56:24.4338365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4338474Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4338723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4338796Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4339034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4339114Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4339379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4339464Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4339739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4339826Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4340115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4340259Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4340523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4340609Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4340612Z 
2025-08-26T20:56:24.4340713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4340943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4341015Z     return mod(**inputs)
2025-08-26T20:56:24.4341260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4341331Z     outputs = self.bert(
2025-08-26T20:56:24.4341574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4341647Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4341894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4341962Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4342185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4342259Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4342501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4342586Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4342824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4342899Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4343141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4343214Z     self_outputs = self.self(
2025-08-26T20:56:24.4343467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4343534Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4343781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4343986Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4343990Z 
2025-08-26T20:56:24.4344098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4344290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4344353Z     return mod(**inputs)
2025-08-26T20:56:24.4344621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4344684Z     outputs = self.bert(
2025-08-26T20:56:24.4344936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4345007Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4345256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4345328Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4345558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4345648Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4345916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4346009Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4346273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4346346Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4346623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4346693Z     self_outputs = self.self(
2025-08-26T20:56:24.4346987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4347060Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4347323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4347402Z     self.key(current_states)
2025-08-26T20:56:24.4347406Z 
2025-08-26T20:56:24.4347511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4347721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4347787Z     return mod(**inputs)
2025-08-26T20:56:24.4348050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4348118Z     outputs = self.bert(
2025-08-26T20:56:24.4348372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4348455Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4348719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4348798Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4349026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4349106Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4349388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4349470Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4349757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4349827Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4350089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4350170Z     self_outputs = self.self(
2025-08-26T20:56:24.4350420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4350499Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4350769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4350872Z     self.value(current_states)
2025-08-26T20:56:24.4350875Z 
2025-08-26T20:56:24.4350962Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4351072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4351289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4351356Z     return mod(**inputs)
2025-08-26T20:56:24.4351644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4351717Z     outputs = self.bert(
2025-08-26T20:56:24.4352002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4352085Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4352353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4352434Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4352751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4352840Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4353144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4353249Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4353560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4353635Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4353905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4353984Z     self_outputs = self.self(
2025-08-26T20:56:24.4354248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4354329Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4354602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4354754Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4354758Z 
2025-08-26T20:56:24.4354865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4355080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4355157Z     return mod(**inputs)
2025-08-26T20:56:24.4355418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4355493Z     outputs = self.bert(
2025-08-26T20:56:24.4355748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4355825Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4356087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4356157Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4356414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4356492Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4356754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4356837Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4357085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4357161Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4357414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4357571Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4357823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4357910Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4357914Z 
2025-08-26T20:56:24.4358026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4358231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4358306Z     return mod(**inputs)
2025-08-26T20:56:24.4358563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4358631Z     outputs = self.bert(
2025-08-26T20:56:24.4358891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4358968Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4359229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4359302Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4359537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4359616Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4359900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4359996Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4360265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4360349Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4360635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4360758Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4361016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4361101Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4361104Z 
2025-08-26T20:56:24.4361216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4361421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4361494Z     return mod(**inputs)
2025-08-26T20:56:24.4361749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4361816Z     outputs = self.bert(
2025-08-26T20:56:24.4362077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4362152Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4362412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4362505Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4362732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4362819Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4363079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4363174Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4363449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4363526Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4363818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4363962Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4364222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4364337Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4364561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4364636Z     return self.act(input)
2025-08-26T20:56:24.4364640Z 
2025-08-26T20:56:24.4364746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4364956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4365020Z     return mod(**inputs)
2025-08-26T20:56:24.4365286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4365354Z     outputs = self.bert(
2025-08-26T20:56:24.4365607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4365690Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4365940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4366018Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4366286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4366368Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4366635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4366715Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4366977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4367053Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4367336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4367474Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4367729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4367822Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4367826Z 
2025-08-26T20:56:24.4367941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4368138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4368201Z     return mod(**inputs)
2025-08-26T20:56:24.4368443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4368512Z     outputs = self.bert(
2025-08-26T20:56:24.4368753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4368849Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4369088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4369164Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4369393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4369474Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4369731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4369814Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4370089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4370159Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4370414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4370492Z     self_outputs = self.self(
2025-08-26T20:56:24.4370738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4370819Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4371072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4371287Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4371297Z 
2025-08-26T20:56:24.4371404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4371604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4371678Z     return mod(**inputs)
2025-08-26T20:56:24.4371940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4372014Z     outputs = self.bert(
2025-08-26T20:56:24.4372270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4372377Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4372637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4372708Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4372938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4373017Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4373268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4373356Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4373600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4373671Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4373921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4373999Z     self_outputs = self.self(
2025-08-26T20:56:24.4374244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4374313Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4374574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4374646Z     self.key(current_states)
2025-08-26T20:56:24.4374651Z 
2025-08-26T20:56:24.4374760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4374981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4375047Z     return mod(**inputs)
2025-08-26T20:56:24.4375312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4375381Z     outputs = self.bert(
2025-08-26T20:56:24.4375649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4375724Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4375976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4376054Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4376305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4376395Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4376659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4376746Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4376980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4377046Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4377299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4377368Z     self_outputs = self.self(
2025-08-26T20:56:24.4377620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4377694Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4377946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4378030Z     self.value(current_states)
2025-08-26T20:56:24.4378033Z 
2025-08-26T20:56:24.4378116Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4378229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4378430Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4378529Z     return mod(**inputs)
2025-08-26T20:56:24.4378795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4378860Z     outputs = self.bert(
2025-08-26T20:56:24.4379117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4379193Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4379448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4379530Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4379752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4379837Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4380092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4380182Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4380430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4380500Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4380759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4380832Z     self_outputs = self.self(
2025-08-26T20:56:24.4381088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4381175Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4381427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4381574Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4381578Z 
2025-08-26T20:56:24.4381687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4381897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4381963Z     return mod(**inputs)
2025-08-26T20:56:24.4382225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4382311Z     outputs = self.bert(
2025-08-26T20:56:24.4382574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4382659Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4382920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4382997Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4383236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4383313Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4383584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4383666Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4383926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4383997Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4384255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4384398Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4384656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4384745Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4384786Z 
2025-08-26T20:56:24.4384892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4385100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4385165Z     return mod(**inputs)
2025-08-26T20:56:24.4385423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4385497Z     outputs = self.bert(
2025-08-26T20:56:24.4385756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4385838Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4386093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4386164Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4386404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4386482Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4386744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4386830Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4387099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4387185Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4387475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4387623Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4387889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4387987Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4387991Z 
2025-08-26T20:56:24.4388099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4388308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4388384Z     return mod(**inputs)
2025-08-26T20:56:24.4388651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4388759Z     outputs = self.bert(
2025-08-26T20:56:24.4389021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4389101Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4389387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4389458Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4389693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4389773Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4390044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4390128Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4390397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4390483Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4390772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4390903Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4391168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4391316Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4391545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4391614Z     return self.act(input)
2025-08-26T20:56:24.4391617Z 
2025-08-26T20:56:24.4391729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4391935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4392000Z     return mod(**inputs)
2025-08-26T20:56:24.4392265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4392334Z     outputs = self.bert(
2025-08-26T20:56:24.4392669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4392755Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4393026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4393103Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4393342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4393437Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4393707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4393798Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4394095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4394175Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4394469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4394611Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4394875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4394960Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4394964Z 
2025-08-26T20:56:24.4395080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4395308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4395374Z     return mod(**inputs)
2025-08-26T20:56:24.4395639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4395705Z     outputs = self.bert(
2025-08-26T20:56:24.4395970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4396047Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4396300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4396382Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4396609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4396701Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4396954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4397040Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4397299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4397372Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4397667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4397741Z     self_outputs = self.self(
2025-08-26T20:56:24.4397997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4398066Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4398316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4398542Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4398545Z 
2025-08-26T20:56:24.4398654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4398863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4398929Z     return mod(**inputs)
2025-08-26T20:56:24.4399188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4399265Z     outputs = self.bert(
2025-08-26T20:56:24.4399518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4399608Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4399843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4399912Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4400131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4400227Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4400478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4400556Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4400804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4400873Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4401113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4401190Z     self_outputs = self.self(
2025-08-26T20:56:24.4401427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4401525Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4401769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4401839Z     self.key(current_states)
2025-08-26T20:56:24.4401842Z 
2025-08-26T20:56:24.4401948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4402144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4402218Z     return mod(**inputs)
2025-08-26T20:56:24.4402467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4402531Z     outputs = self.bert(
2025-08-26T20:56:24.4402787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4402857Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4403109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4403179Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4403404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4403477Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4403752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4403840Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4404072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4404144Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4404382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4404452Z     self_outputs = self.self(
2025-08-26T20:56:24.4404693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4404762Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4405005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4405076Z     self.value(current_states)
2025-08-26T20:56:24.4405080Z 
2025-08-26T20:56:24.4405168Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4405269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4405458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4405531Z     return mod(**inputs)
2025-08-26T20:56:24.4405772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4405843Z     outputs = self.bert(
2025-08-26T20:56:24.4406084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4406175Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4406420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4406490Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4406713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4406788Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4407024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4407110Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4407343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4407438Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4407678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4407747Z     self_outputs = self.self(
2025-08-26T20:56:24.4407991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4408056Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4408309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4408442Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4408446Z 
2025-08-26T20:56:24.4408554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4408743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4408808Z     return mod(**inputs)
2025-08-26T20:56:24.4409060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4409125Z     outputs = self.bert(
2025-08-26T20:56:24.4409373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4409444Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4409719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4409796Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4410011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4410094Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4410334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4410416Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4410658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4410724Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4410972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4411100Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4411349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4411430Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4411433Z 
2025-08-26T20:56:24.4411531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4411733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4411797Z     return mod(**inputs)
2025-08-26T20:56:24.4412046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4412138Z     outputs = self.bert(
2025-08-26T20:56:24.4412382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4412458Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4412699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4412774Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4412993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4413072Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4413311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4413411Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4413678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4413755Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4414100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4414219Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4414583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4414681Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4414685Z 
2025-08-26T20:56:24.4414781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4414979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4415042Z     return mod(**inputs)
2025-08-26T20:56:24.4415278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4415350Z     outputs = self.bert(
2025-08-26T20:56:24.4415583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4415661Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4415972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4416054Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4416267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4416343Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4416589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4416670Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4416932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4417007Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4417273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4417398Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4417636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4417752Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4417955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4418035Z     return self.act(input)
2025-08-26T20:56:24.4418039Z 
2025-08-26T20:56:24.4418140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4418353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4418425Z     return mod(**inputs)
2025-08-26T20:56:24.4418661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4418729Z     outputs = self.bert(
2025-08-26T20:56:24.4418967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4419035Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4419276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4419342Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4419598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4419672Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4419902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4419989Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4420237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4420316Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4420576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4420710Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4420945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4421023Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4421027Z 
2025-08-26T20:56:24.4421134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4421323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4421392Z     return mod(**inputs)
2025-08-26T20:56:24.4421626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4421721Z     outputs = self.bert(
2025-08-26T20:56:24.4421965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4422033Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4422273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4422350Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4422569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4422644Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4422874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4422961Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4423193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4423267Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4423498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4423565Z     self_outputs = self.self(
2025-08-26T20:56:24.4423801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4423866Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4424106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4424326Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4424329Z 
2025-08-26T20:56:24.4424436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4424627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4424690Z     return mod(**inputs)
2025-08-26T20:56:24.4424934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4424996Z     outputs = self.bert(
2025-08-26T20:56:24.4425239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4425328Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4425559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4425636Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4425845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4425927Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4426160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4426237Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4426473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4426537Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4426773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4426840Z     self_outputs = self.self(
2025-08-26T20:56:24.4427065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4427138Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4427370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4427444Z     self.key(current_states)
2025-08-26T20:56:24.4427481Z 
2025-08-26T20:56:24.4427580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4427774Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4427834Z     return mod(**inputs)
2025-08-26T20:56:24.4428071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4428144Z     outputs = self.bert(
2025-08-26T20:56:24.4428384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4428461Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4428693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4428757Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4428976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4429050Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4429296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4429374Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4429606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4429680Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4429918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4430010Z     self_outputs = self.self(
2025-08-26T20:56:24.4430243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4430315Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4430556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4430625Z     self.value(current_states)
2025-08-26T20:56:24.4430628Z 
2025-08-26T20:56:24.4430715Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4430815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4431012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4431091Z     return mod(**inputs)
2025-08-26T20:56:24.4431331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4431401Z     outputs = self.bert(
2025-08-26T20:56:24.4431639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4431717Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4431957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4432027Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4432263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4432340Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4432658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4432752Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4433005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4433077Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4433326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4433403Z     self_outputs = self.self(
2025-08-26T20:56:24.4433692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4433769Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4434024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4434162Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4434168Z 
2025-08-26T20:56:24.4434283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4434486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4434563Z     return mod(**inputs)
2025-08-26T20:56:24.4434823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4434889Z     outputs = self.bert(
2025-08-26T20:56:24.4435154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4435231Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4435499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4435566Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4435791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4435867Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4436107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4436220Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4436455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4436529Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4436770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4436898Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4437146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4437244Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4437248Z 
2025-08-26T20:56:24.4437355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4437544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4437617Z     return mod(**inputs)
2025-08-26T20:56:24.4437858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4437920Z     outputs = self.bert(
2025-08-26T20:56:24.4438172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4438244Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4438488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4438555Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4438770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4438851Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4439086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4439178Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4439432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4439539Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4439824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4439938Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4440183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4440266Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4440269Z 
2025-08-26T20:56:24.4440375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4440568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4440630Z     return mod(**inputs)
2025-08-26T20:56:24.4440880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4440944Z     outputs = self.bert(
2025-08-26T20:56:24.4441195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4441267Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4441504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4441579Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4441796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4441881Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4442524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4442607Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4442878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4442956Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4443241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4443358Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4443611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4443742Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4443961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4444044Z     return self.act(input)
2025-08-26T20:56:24.4444048Z 
2025-08-26T20:56:24.4444153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4444361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4444429Z     return mod(**inputs)
2025-08-26T20:56:24.4444683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4444754Z     outputs = self.bert(
2025-08-26T20:56:24.4445009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4445092Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4445345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4445422Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4445636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4445712Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4445989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4446074Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4446335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4446410Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4446680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4446821Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4447058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4447145Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4447149Z 
2025-08-26T20:56:24.4447252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4447454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4447517Z     return mod(**inputs)
2025-08-26T20:56:24.4447763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4447834Z     outputs = self.bert(
2025-08-26T20:56:24.4448080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4448161Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4448402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4448494Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4448718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4448794Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4449057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4449142Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4449392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4449480Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4449716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4449811Z     self_outputs = self.self(
2025-08-26T20:56:24.4450048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4450119Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4450370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4450576Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4450579Z 
2025-08-26T20:56:24.4450687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4450883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4450953Z     return mod(**inputs)
2025-08-26T20:56:24.4451197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4451262Z     outputs = self.bert(
2025-08-26T20:56:24.4451516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4451589Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4451836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4451905Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4452158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4452241Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4452477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4452564Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4452814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4452891Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4453143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4453214Z     self_outputs = self.self(
2025-08-26T20:56:24.4453470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4453541Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4453801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4453872Z     self.key(current_states)
2025-08-26T20:56:24.4453875Z 
2025-08-26T20:56:24.4453982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4454192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4454260Z     return mod(**inputs)
2025-08-26T20:56:24.4454522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4454612Z     outputs = self.bert(
2025-08-26T20:56:24.4454871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4454953Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4455209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4455287Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4455517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4455603Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4455858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4455963Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4456217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4456288Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4456546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4456617Z     self_outputs = self.self(
2025-08-26T20:56:24.4456869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4456947Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4457195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4457274Z     self.value(current_states)
2025-08-26T20:56:24.4457279Z 
2025-08-26T20:56:24.4457366Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4457471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4457678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4457747Z     return mod(**inputs)
2025-08-26T20:56:24.4458009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4458076Z     outputs = self.bert(
2025-08-26T20:56:24.4458381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4458459Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4458713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4458791Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4459023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4459107Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4459363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4459446Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4459702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4459772Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4460036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4460107Z     self_outputs = self.self(
2025-08-26T20:56:24.4460357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4460434Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4460687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4460835Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4460858Z 
2025-08-26T20:56:24.4460965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4461173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4461238Z     return mod(**inputs)
2025-08-26T20:56:24.4461497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4461573Z     outputs = self.bert(
2025-08-26T20:56:24.4461828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4461910Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4462180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4462253Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4462490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4462572Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4462832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4462919Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4463167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4463243Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4463496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4463639Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4463899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4463991Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4463995Z 
2025-08-26T20:56:24.4464094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4464287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4464356Z     return mod(**inputs)
2025-08-26T20:56:24.4464650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4464727Z     outputs = self.bert(
2025-08-26T20:56:24.4464986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4465060Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4465325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4465398Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4465638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4465717Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4465969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4466065Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4466332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4466422Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4466714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4466844Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4467100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4467206Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4467210Z 
2025-08-26T20:56:24.4467326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4467534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4467611Z     return mod(**inputs)
2025-08-26T20:56:24.4467873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4467942Z     outputs = self.bert(
2025-08-26T20:56:24.4468209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4468284Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4468571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4468646Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4468891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4468972Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4469235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4469331Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4469611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4469700Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4469997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4470128Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4470399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4470522Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4470758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4470831Z     return self.act(input)
2025-08-26T20:56:24.4470835Z 
2025-08-26T20:56:24.4470985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4471201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4471268Z     return mod(**inputs)
2025-08-26T20:56:24.4471544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4471616Z     outputs = self.bert(
2025-08-26T20:56:24.4471886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4471965Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4472225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4472308Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4472544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4472879Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4473149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4473236Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4473526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4473612Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4473915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4474081Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4474368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4474454Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4474459Z 
2025-08-26T20:56:24.4474565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4474798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4474863Z     return mod(**inputs)
2025-08-26T20:56:24.4475128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4475218Z     outputs = self.bert(
2025-08-26T20:56:24.4475497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4475579Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4475844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4475924Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4476153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4476232Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4476502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4476583Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4476842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4476916Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4477184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4477258Z     self_outputs = self.self(
2025-08-26T20:56:24.4477516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4477595Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4477891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4478117Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4478121Z 
2025-08-26T20:56:24.4478227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4478435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4478508Z     return mod(**inputs)
2025-08-26T20:56:24.4478767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4478842Z     outputs = self.bert(
2025-08-26T20:56:24.4479099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4479180Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4479449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4479521Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4479755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4479833Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4480096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4480179Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4480463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4480542Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4480803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4480882Z     self_outputs = self.self(
2025-08-26T20:56:24.4481128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4481198Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4481467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4481575Z     self.key(current_states)
2025-08-26T20:56:24.4481578Z 
2025-08-26T20:56:24.4481692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4481925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4482000Z     return mod(**inputs)
2025-08-26T20:56:24.4482261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4482327Z     outputs = self.bert(
2025-08-26T20:56:24.4482593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4482668Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4482927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4482999Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4483225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4483314Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4483568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4483659Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4483907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4483978Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4484289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4484363Z     self_outputs = self.self(
2025-08-26T20:56:24.4484618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4484686Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4484953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4485027Z     self.value(current_states)
2025-08-26T20:56:24.4485033Z 
2025-08-26T20:56:24.4485115Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4485229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4485432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4485507Z     return mod(**inputs)
2025-08-26T20:56:24.4485767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4485835Z     outputs = self.bert(
2025-08-26T20:56:24.4486098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4486172Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4486430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4486502Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4486750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4486839Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4487093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4487186Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4487437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4487513Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4487766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4487854Z     self_outputs = self.self(
2025-08-26T20:56:24.4488111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4488182Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4488443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4488583Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4488587Z 
2025-08-26T20:56:24.4488694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4488904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4488971Z     return mod(**inputs)
2025-08-26T20:56:24.4489241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4489307Z     outputs = self.bert(
2025-08-26T20:56:24.4489567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4489649Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4489905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4489983Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4490213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4490330Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4490587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4490669Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4490926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4490998Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4491259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4491397Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4491651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4491744Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4491748Z 
2025-08-26T20:56:24.4491856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4492069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4492135Z     return mod(**inputs)
2025-08-26T20:56:24.4492395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4492467Z     outputs = self.bert(
2025-08-26T20:56:24.4492729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4492812Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4493085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4493166Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4493391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4493473Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4493736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4493824Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4494102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4494202Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4494486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4494621Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4494878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4494969Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4494973Z 
2025-08-26T20:56:24.4495082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4495294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4495359Z     return mod(**inputs)
2025-08-26T20:56:24.4495622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4495697Z     outputs = self.bert(
2025-08-26T20:56:24.4495958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4496042Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4496295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4496368Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4496641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4496722Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4496981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4497066Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4497338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4497426Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4497719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4497851Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4498102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4498226Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4498447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4498517Z     return self.act(input)
2025-08-26T20:56:24.4498521Z 
2025-08-26T20:56:24.4498637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4498839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4498915Z     return mod(**inputs)
2025-08-26T20:56:24.4499172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4499270Z     outputs = self.bert(
2025-08-26T20:56:24.4499520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4499593Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4499842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4499910Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4500123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4500205Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4500447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4500567Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4500835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4500920Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4501203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4501344Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4501604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4501689Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4501693Z 
2025-08-26T20:56:24.4501805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4502003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4502071Z     return mod(**inputs)
2025-08-26T20:56:24.4502334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4502402Z     outputs = self.bert(
2025-08-26T20:56:24.4502661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4502734Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4503024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4503098Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4503326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4503412Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4503665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4503755Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4504007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4504076Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4504337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4504409Z     self_outputs = self.self(
2025-08-26T20:56:24.4504664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4504733Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4504987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4505213Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4505216Z 
2025-08-26T20:56:24.4505323Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4505566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4505632Z     return mod(**inputs)
2025-08-26T20:56:24.4505897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4505964Z     outputs = self.bert(
2025-08-26T20:56:24.4506225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4506307Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4506562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4506640Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4506887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4506967Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4507226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4507310Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4507561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4507633Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4507893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4507962Z     self_outputs = self.self(
2025-08-26T20:56:24.4508212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4508292Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4508547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4508629Z     self.key(current_states)
2025-08-26T20:56:24.4508633Z 
2025-08-26T20:56:24.4508742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4508949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4509024Z     return mod(**inputs)
2025-08-26T20:56:24.4509323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4509401Z     outputs = self.bert(
2025-08-26T20:56:24.4509663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4509740Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4510012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4510086Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4510329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4510411Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4510684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4510772Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4513841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4513947Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4514234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4514314Z     self_outputs = self.self(
2025-08-26T20:56:24.4514739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4514819Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4515155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4515229Z     self.value(current_states)
2025-08-26T20:56:24.4515234Z 
2025-08-26T20:56:24.4515318Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4515440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4515647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4515764Z     return mod(**inputs)
2025-08-26T20:56:24.4516021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4516087Z     outputs = self.bert(
2025-08-26T20:56:24.4516382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4516459Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4516721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4516792Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4517018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4517107Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4517359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4517450Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4517710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4517781Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4518051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4518125Z     self_outputs = self.self(
2025-08-26T20:56:24.4518383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4518453Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4518807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4518952Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4518956Z 
2025-08-26T20:56:24.4519065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4519279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4519347Z     return mod(**inputs)
2025-08-26T20:56:24.4519612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4519677Z     outputs = self.bert(
2025-08-26T20:56:24.4519951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4520030Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4520269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4520346Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4520670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4520755Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4520986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4521065Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4521302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4521386Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4521625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4521749Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4521985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4522072Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4522077Z 
2025-08-26T20:56:24.4522173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4522369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4522452Z     return mod(**inputs)
2025-08-26T20:56:24.4522696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4522770Z     outputs = self.bert(
2025-08-26T20:56:24.4523013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4523091Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4523332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4523407Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4523624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4523704Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4523965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4524052Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4524332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4524414Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4524705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4524839Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4525111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4525208Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4525212Z 
2025-08-26T20:56:24.4525320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4525532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4525601Z     return mod(**inputs)
2025-08-26T20:56:24.4525864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4525937Z     outputs = self.bert(
2025-08-26T20:56:24.4526181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4526265Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4526528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4526602Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4526876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4526958Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4527217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4527303Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4527571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4527676Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4527963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4528096Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4528347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4528472Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4528694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4528785Z     return self.act(input)
2025-08-26T20:56:24.4528788Z 
2025-08-26T20:56:24.4528903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4529107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4529182Z     return mod(**inputs)
2025-08-26T20:56:24.4529437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4529503Z     outputs = self.bert(
2025-08-26T20:56:24.4529767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4529842Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4530103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4530174Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4530401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4530489Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4530738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4530833Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4531098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4531214Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4531499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4531638Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4531899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4531984Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4531988Z 
2025-08-26T20:56:24.4532100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4532307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4532371Z     return mod(**inputs)
2025-08-26T20:56:24.4532633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4532700Z     outputs = self.bert(
2025-08-26T20:56:24.4532963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4533059Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4533323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4533395Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4533626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4533711Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4533980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4534071Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4534323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4534397Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4534661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4534734Z     self_outputs = self.self(
2025-08-26T20:56:24.4534989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4535080Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4535334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4535562Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4535566Z 
2025-08-26T20:56:24.4535672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4535879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4535946Z     return mod(**inputs)
2025-08-26T20:56:24.4536212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4536277Z     outputs = self.bert(
2025-08-26T20:56:24.4536533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4536616Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4536871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4536950Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4537176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4537255Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4537533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4537618Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4537876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4537948Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4538205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4538277Z     self_outputs = self.self(
2025-08-26T20:56:24.4538525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4538604Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4538854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4538934Z     self.key(current_states)
2025-08-26T20:56:24.4538937Z 
2025-08-26T20:56:24.4539045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4539249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4539349Z     return mod(**inputs)
2025-08-26T20:56:24.4539605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4539679Z     outputs = self.bert(
2025-08-26T20:56:24.4539937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4540010Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4540292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4540364Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4540609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4540694Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4540973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4541060Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4541331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4541429Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4541691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4541773Z     self_outputs = self.self(
2025-08-26T20:56:24.4542033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4542102Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4542374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4542449Z     self.value(current_states)
2025-08-26T20:56:24.4542453Z 
2025-08-26T20:56:24.4542548Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4542655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4542865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4542944Z     return mod(**inputs)
2025-08-26T20:56:24.4543212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4543286Z     outputs = self.bert(
2025-08-26T20:56:24.4543553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4543627Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4543921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4543996Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4544237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4544316Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4544576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4544669Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4544919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4545002Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4545256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4545335Z     self_outputs = self.self(
2025-08-26T20:56:24.4545594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4545664Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4545952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4546100Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4546106Z 
2025-08-26T20:56:24.4546222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4546431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4546526Z     return mod(**inputs)
2025-08-26T20:56:24.4546794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4546873Z     outputs = self.bert(
2025-08-26T20:56:24.4547136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4547210Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4547470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4547543Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4547771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4547875Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4548130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4548226Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4548482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4548554Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4548828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4548969Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4549242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4549331Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4549336Z 
2025-08-26T20:56:24.4549449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4549662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4549733Z     return mod(**inputs)
2025-08-26T20:56:24.4550003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4550072Z     outputs = self.bert(
2025-08-26T20:56:24.4550362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4550440Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4550705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4550788Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4551021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4551111Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4551367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4551457Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4551737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4551817Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4552118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4552265Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4552536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4552740Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4552756Z 
2025-08-26T20:56:24.4552871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4553089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4553191Z     return mod(**inputs)
2025-08-26T20:56:24.4553466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4553534Z     outputs = self.bert(
2025-08-26T20:56:24.4553806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4553888Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4554142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4554222Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4554456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4554573Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4554832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4554920Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4555204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4555284Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4555590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4555721Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4556004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4556133Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4556358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4556442Z     return self.act(input)
2025-08-26T20:56:24.4556446Z 
2025-08-26T20:56:24.4556555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4556772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4556841Z     return mod(**inputs)
2025-08-26T20:56:24.4557124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4557204Z     outputs = self.bert(
2025-08-26T20:56:24.4557494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4557578Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4557863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4557936Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4558184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4558268Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4558544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4558634Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4558912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4559019Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4559316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4559467Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4559738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4559853Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4559857Z 
2025-08-26T20:56:24.4559965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4560194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4560271Z     return mod(**inputs)
2025-08-26T20:56:24.4560562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4560639Z     outputs = self.bert(
2025-08-26T20:56:24.4560899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4560975Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4561271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4561347Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4561590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4561673Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4561940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4562036Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4562294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4562373Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4562699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4562784Z     self_outputs = self.self(
2025-08-26T20:56:24.4563051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4563127Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4563401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4563626Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4563646Z 
2025-08-26T20:56:24.4563766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4563989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4564058Z     return mod(**inputs)
2025-08-26T20:56:24.4564355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4564425Z     outputs = self.bert(
2025-08-26T20:56:24.4564695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4564767Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4565015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4565084Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4565301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4565384Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4565643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4565732Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4565971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4566058Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4566310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4566397Z     self_outputs = self.self(
2025-08-26T20:56:24.4566638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4566701Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4566943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4567022Z     self.key(current_states)
2025-08-26T20:56:24.4567028Z 
2025-08-26T20:56:24.4567133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4567338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4567423Z     return mod(**inputs)
2025-08-26T20:56:24.4567689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4567749Z     outputs = self.bert(
2025-08-26T20:56:24.4567993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4568069Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4568304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4568377Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4568592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4568666Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4568908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4568987Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4569225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4569292Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4569528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4569600Z     self_outputs = self.self(
2025-08-26T20:56:24.4569849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4569923Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4570168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4570240Z     self.value(current_states)
2025-08-26T20:56:24.4570250Z 
2025-08-26T20:56:24.4570334Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4570442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4570650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4570716Z     return mod(**inputs)
2025-08-26T20:56:24.4570977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4571042Z     outputs = self.bert(
2025-08-26T20:56:24.4571299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4571382Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4571651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4571730Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4571958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4572050Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4572293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4572389Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4572630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4572697Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4572934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4573008Z     self_outputs = self.self(
2025-08-26T20:56:24.4573242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4573316Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4573553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4573714Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4573720Z 
2025-08-26T20:56:24.4573820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4574010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4574081Z     return mod(**inputs)
2025-08-26T20:56:24.4574327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4574396Z     outputs = self.bert(
2025-08-26T20:56:24.4574645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4574716Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4574966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4575035Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4575259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4575337Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4575578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4575663Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4575917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4575993Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4576232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4576366Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4576607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4576688Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4576693Z 
2025-08-26T20:56:24.4576802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4576995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4577064Z     return mod(**inputs)
2025-08-26T20:56:24.4577310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4577372Z     outputs = self.bert(
2025-08-26T20:56:24.4577644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4577717Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4577963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4578032Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4578256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4578359Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4578598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4578688Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4578945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4579027Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4579295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4579413Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4579676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4579757Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4579762Z 
2025-08-26T20:56:24.4579869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4580061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4580131Z     return mod(**inputs)
2025-08-26T20:56:24.4580375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4580438Z     outputs = self.bert(
2025-08-26T20:56:24.4580686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4580755Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4581001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4581070Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4581292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4581381Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4581630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4581738Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4582009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4582089Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4582383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4582508Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4582768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4582885Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4583110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4583182Z     return self.act(input)
2025-08-26T20:56:24.4583185Z 
2025-08-26T20:56:24.4583293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4583505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4583588Z     return mod(**inputs)
2025-08-26T20:56:24.4583853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4583920Z     outputs = self.bert(
2025-08-26T20:56:24.4584181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4584265Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4584539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4584617Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4584843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4584923Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4585182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4585267Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4585539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4585638Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4585930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4586072Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4586327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4586418Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4586421Z 
2025-08-26T20:56:24.4586528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4586739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4586804Z     return mod(**inputs)
2025-08-26T20:56:24.4587059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4587134Z     outputs = self.bert(
2025-08-26T20:56:24.4587391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4587474Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4587733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4587814Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4588060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4588141Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4588404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4588487Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4588744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4588818Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4589070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4589152Z     self_outputs = self.self(
2025-08-26T20:56:24.4589400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4589477Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4589729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4589961Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4589973Z 
2025-08-26T20:56:24.4590080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4590282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4590358Z     return mod(**inputs)
2025-08-26T20:56:24.4590616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4590707Z     outputs = self.bert(
2025-08-26T20:56:24.4590965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4591040Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4591302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4591376Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4591613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4591691Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4591943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4592055Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4592307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4592385Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4592739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4592817Z     self_outputs = self.self(
2025-08-26T20:56:24.4593080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4593154Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4593426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4593501Z     self.key(current_states)
2025-08-26T20:56:24.4593507Z 
2025-08-26T20:56:24.4593625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4593843Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4593911Z     return mod(**inputs)
2025-08-26T20:56:24.4594177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4594245Z     outputs = self.bert(
2025-08-26T20:56:24.4594535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4594612Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4594870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4594954Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4595181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4595269Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4595523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4595607Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4595861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4595932Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4596197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4596269Z     self_outputs = self.self(
2025-08-26T20:56:24.4596538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4596609Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4596871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4596954Z     self.value(current_states)
2025-08-26T20:56:24.4596958Z 
2025-08-26T20:56:24.4597040Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4597170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4597384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4597450Z     return mod(**inputs)
2025-08-26T20:56:24.4597717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4597785Z     outputs = self.bert(
2025-08-26T20:56:24.4598049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4598122Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4598376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4598473Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4598701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4598789Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4599042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4599132Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4599381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4599452Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4599714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4599784Z     self_outputs = self.self(
2025-08-26T20:56:24.4600039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4600109Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4600362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4600516Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4600520Z 
2025-08-26T20:56:24.4600618Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4600837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4600904Z     return mod(**inputs)
2025-08-26T20:56:24.4601149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4601218Z     outputs = self.bert(
2025-08-26T20:56:24.4601460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4601540Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4601778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4601855Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4602070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4602148Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4602398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4602509Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4602752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4602817Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4603064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4603209Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4603495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4603588Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4603591Z 
2025-08-26T20:56:24.4603694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4603922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4603989Z     return mod(**inputs)
2025-08-26T20:56:24.4604247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4604320Z     outputs = self.bert(
2025-08-26T20:56:24.4604572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4604673Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4604938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4605008Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4605232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4605306Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4605554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4605636Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4605891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4605973Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4606249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4606369Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4606611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4606698Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4606701Z 
2025-08-26T20:56:24.4606818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4607012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4607085Z     return mod(**inputs)
2025-08-26T20:56:24.4607334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4607408Z     outputs = self.bert(
2025-08-26T20:56:24.4607657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4607732Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4607985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4608058Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4608284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4608367Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4608607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4608716Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4608969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4609052Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4609321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4609461Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4609698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4609805Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4610021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4610086Z     return self.act(input)
2025-08-26T20:56:24.4610089Z 
2025-08-26T20:56:24.4610196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4610385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4610464Z     return mod(**inputs)
2025-08-26T20:56:24.4610714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4610777Z     outputs = self.bert(
2025-08-26T20:56:24.4611027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4611095Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4611342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4611411Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4611627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4611709Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4611946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4612036Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4612290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4612363Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4612641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4612771Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4613034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4613117Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4613121Z 
2025-08-26T20:56:24.4613225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4613419Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4613483Z     return mod(**inputs)
2025-08-26T20:56:24.4613733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4613798Z     outputs = self.bert(
2025-08-26T20:56:24.4614047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4614119Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4614362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4614589Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4614862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4614955Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4615210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4615299Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4615559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4615662Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4615921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4615993Z     self_outputs = self.self(
2025-08-26T20:56:24.4616250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4616321Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4616572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4616796Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4616824Z 
2025-08-26T20:56:24.4616933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4617148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4617213Z     return mod(**inputs)
2025-08-26T20:56:24.4617456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4617526Z     outputs = self.bert(
2025-08-26T20:56:24.4617783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4617865Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4618120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4618193Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4618429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4618509Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4618770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4618857Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4619111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4619183Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4619477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4619559Z     self_outputs = self.self(
2025-08-26T20:56:24.4619805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4619883Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4620137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4620208Z     self.key(current_states)
2025-08-26T20:56:24.4620213Z 
2025-08-26T20:56:24.4620325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4620525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4620596Z     return mod(**inputs)
2025-08-26T20:56:24.4620854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4620919Z     outputs = self.bert(
2025-08-26T20:56:24.4621225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4621302Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4621562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4621636Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4621873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4621971Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4622222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4622315Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4622563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4622641Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4622895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4622967Z     self_outputs = self.self(
2025-08-26T20:56:24.4623243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4623312Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4623574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4623652Z     self.value(current_states)
2025-08-26T20:56:24.4623656Z 
2025-08-26T20:56:24.4623740Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4623853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4624058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4624131Z     return mod(**inputs)
2025-08-26T20:56:24.4624391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4624466Z     outputs = self.bert(
2025-08-26T20:56:24.4624723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4624799Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4625061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4625134Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4625368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4625447Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4625728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4625822Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4626069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4626146Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4626399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4626470Z     self_outputs = self.self(
2025-08-26T20:56:24.4626725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4626795Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4627051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4627198Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4627201Z 
2025-08-26T20:56:24.4627324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4627514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4627574Z     return mod(**inputs)
2025-08-26T20:56:24.4627821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4627885Z     outputs = self.bert(
2025-08-26T20:56:24.4628132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4628220Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4628458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4628533Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4628750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4628834Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4629068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4629146Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4629403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4629471Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4629727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4629862Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4630123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4630207Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4630210Z 
2025-08-26T20:56:24.4630317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4630527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4630593Z     return mod(**inputs)
2025-08-26T20:56:24.4630859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4630925Z     outputs = self.bert(
2025-08-26T20:56:24.4631179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4631265Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4631516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4631595Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4631842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4631927Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4632189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4632276Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4632559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4632708Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4633002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4633126Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4633378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4633472Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4633476Z 
2025-08-26T20:56:24.4633602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4633814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4633889Z     return mod(**inputs)
2025-08-26T20:56:24.4634135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4634210Z     outputs = self.bert(
2025-08-26T20:56:24.4634470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4634552Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4634793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4634872Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4635089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4635164Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4635409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4635509Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4635767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4635843Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4636115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4636238Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4636476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4636593Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4636798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4636873Z     return self.act(input)
2025-08-26T20:56:24.4636878Z 
2025-08-26T20:56:24.4636979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4637169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4637241Z     return mod(**inputs)
2025-08-26T20:56:24.4637481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4637551Z     outputs = self.bert(
2025-08-26T20:56:24.4637810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4637883Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4638134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4638202Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4638429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4638507Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4638748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4638839Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4639095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4639176Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4639449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4639605Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4639851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4639927Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4639933Z 
2025-08-26T20:56:24.4640041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4640231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4640320Z     return mod(**inputs)
2025-08-26T20:56:24.4640565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4640627Z     outputs = self.bert(
2025-08-26T20:56:24.4640893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4640966Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4641227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4641297Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4641527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4641631Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4641894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4641996Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4642235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4642309Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4642554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4642623Z     self_outputs = self.self(
2025-08-26T20:56:24.4642866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4642932Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4643180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4643385Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4643391Z 
2025-08-26T20:56:24.4643492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4643695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4643757Z     return mod(**inputs)
2025-08-26T20:56:24.4644037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4644107Z     outputs = self.bert(
2025-08-26T20:56:24.4644374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4644448Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4644705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4644784Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4645019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4645109Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4645375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4645460Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4645729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4645818Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4646089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4646162Z     self_outputs = self.self(
2025-08-26T20:56:24.4646419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4646496Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4646783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4646865Z     self.key(current_states)
2025-08-26T20:56:24.4646868Z 
2025-08-26T20:56:24.4646982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4647181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4647245Z     return mod(**inputs)
2025-08-26T20:56:24.4647486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4647567Z     outputs = self.bert(
2025-08-26T20:56:24.4647801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4647903Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4648135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4648202Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4648419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4648492Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4648735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4648814Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4649040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4649112Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4649347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4649419Z     self_outputs = self.self(
2025-08-26T20:56:24.4649653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4649726Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4649966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4650051Z     self.value(current_states)
2025-08-26T20:56:24.4650055Z 
2025-08-26T20:56:24.4650143Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4650244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4650442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4650506Z     return mod(**inputs)
2025-08-26T20:56:24.4650748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4650817Z     outputs = self.bert(
2025-08-26T20:56:24.4651058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4651139Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4651378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4651448Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4651668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4651766Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4652015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4652094Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4652341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4652406Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4652660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4652736Z     self_outputs = self.self(
2025-08-26T20:56:24.4652969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4653047Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4653302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4653446Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4653450Z 
2025-08-26T20:56:24.4653563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4653788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4653860Z     return mod(**inputs)
2025-08-26T20:56:24.4654120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4654188Z     outputs = self.bert(
2025-08-26T20:56:24.4654459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4654531Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4654779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4654848Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4655072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4655149Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4655392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4655476Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4655722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4655794Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4656043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4656169Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4656414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4656493Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4656496Z 
2025-08-26T20:56:24.4656599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4656788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4656849Z     return mod(**inputs)
2025-08-26T20:56:24.4657098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4657161Z     outputs = self.bert(
2025-08-26T20:56:24.4657408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4657478Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4657721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4657805Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4658015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4658100Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4658335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4658443Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4658695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4658767Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4659047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4659165Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4659411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4659493Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4659496Z 
2025-08-26T20:56:24.4659623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4659814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4659886Z     return mod(**inputs)
2025-08-26T20:56:24.4660134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4660196Z     outputs = self.bert(
2025-08-26T20:56:24.4660439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4660511Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4660750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4660828Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4661044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4661128Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4661370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4661454Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4661714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4661788Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4662087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4662209Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4662455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4662564Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4662773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4662849Z     return self.act(input)
2025-08-26T20:56:24.4662854Z 
2025-08-26T20:56:24.4662952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4663148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4663218Z     return mod(**inputs)
2025-08-26T20:56:24.4663460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4663530Z     outputs = self.bert(
2025-08-26T20:56:24.4663785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4663866Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4664107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4664185Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4664401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4664497Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4664744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4664824Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4665086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4665160Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4665432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4665574Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4665839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4665927Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4665932Z 
2025-08-26T20:56:24.4666034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4666235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4666297Z     return mod(**inputs)
2025-08-26T20:56:24.4666545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4666618Z     outputs = self.bert(
2025-08-26T20:56:24.4666863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4666942Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4667182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4667251Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4667474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4667551Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4667800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4667879Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4668134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4668214Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4668458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4668538Z     self_outputs = self.self(
2025-08-26T20:56:24.4668785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4668854Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4669111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4669347Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4669351Z 
2025-08-26T20:56:24.4669467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4669671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4669760Z     return mod(**inputs)
2025-08-26T20:56:24.4670020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4670087Z     outputs = self.bert(
2025-08-26T20:56:24.4670352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4670425Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4670709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4670781Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4671010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4671101Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4671355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4671444Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4671693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4671791Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4672041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4672113Z     self_outputs = self.self(
2025-08-26T20:56:24.4672370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4672443Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4672799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4672881Z     self.key(current_states)
2025-08-26T20:56:24.4672885Z 
2025-08-26T20:56:24.4672997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4673216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4673285Z     return mod(**inputs)
2025-08-26T20:56:24.4673560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4673629Z     outputs = self.bert(
2025-08-26T20:56:24.4673883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4673967Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4674218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4674300Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4674553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4674647Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4674898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4674984Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4675240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4675308Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4675555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4675623Z     self_outputs = self.self(
2025-08-26T20:56:24.4675854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4675931Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4676186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4676267Z     self.value(current_states)
2025-08-26T20:56:24.4676271Z 
2025-08-26T20:56:24.4676350Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4676452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4676655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4676717Z     return mod(**inputs)
2025-08-26T20:56:24.4676982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4677047Z     outputs = self.bert(
2025-08-26T20:56:24.4677286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4677365Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4677622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4677700Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4677927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4678045Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4678289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4678373Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4678618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4678689Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4678941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4679013Z     self_outputs = self.self(
2025-08-26T20:56:24.4679260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4679342Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4679599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4679754Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4679758Z 
2025-08-26T20:56:24.4679867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4680086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4680157Z     return mod(**inputs)
2025-08-26T20:56:24.4680419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4680515Z     outputs = self.bert(
2025-08-26T20:56:24.4680771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4680855Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4681111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4681184Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4681424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4681505Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4681769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4681851Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4682102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4682180Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4682450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4682595Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4682848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4682947Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4682950Z 
2025-08-26T20:56:24.4683058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4683279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4683357Z     return mod(**inputs)
2025-08-26T20:56:24.4683615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4683695Z     outputs = self.bert(
2025-08-26T20:56:24.4683954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4684031Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4684295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4684385Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4684619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4684702Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4684956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4685049Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4685325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4685409Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4685705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4685838Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4686096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4686181Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4686187Z 
2025-08-26T20:56:24.4686300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4686503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4686574Z     return mod(**inputs)
2025-08-26T20:56:24.4687743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4687819Z     outputs = self.bert(
2025-08-26T20:56:24.4688094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4688169Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4688434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4688510Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4688745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4688828Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4689078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4689171Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4689440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4689528Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4689839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4689968Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4690233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4690350Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4690599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4690672Z     return self.act(input)
2025-08-26T20:56:24.4690676Z 
2025-08-26T20:56:24.4690804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4691003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4691069Z     return mod(**inputs)
2025-08-26T20:56:24.4691328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4691396Z     outputs = self.bert(
2025-08-26T20:56:24.4691660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4691752Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4692008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4692092Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4692324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4692408Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4692653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4692736Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4693004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4693077Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4693363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4693504Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4693771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4693855Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4693859Z 
2025-08-26T20:56:24.4693964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4694197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4694264Z     return mod(**inputs)
2025-08-26T20:56:24.4694529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4694595Z     outputs = self.bert(
2025-08-26T20:56:24.4694854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4694936Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4695202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4695278Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4695494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4695573Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4695819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4695926Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4696167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4696238Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4696482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4696569Z     self_outputs = self.self(
2025-08-26T20:56:24.4696809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4696884Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4697129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4697343Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4697347Z 
2025-08-26T20:56:24.4697450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4697650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4697739Z     return mod(**inputs)
2025-08-26T20:56:24.4697980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4698049Z     outputs = self.bert(
2025-08-26T20:56:24.4698290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4698368Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4698603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4698672Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4698896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4698971Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4699215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4699296Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4699529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4699604Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4699840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4699913Z     self_outputs = self.self(
2025-08-26T20:56:24.4700162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4700232Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4700479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4700546Z     self.key(current_states)
2025-08-26T20:56:24.4700549Z 
2025-08-26T20:56:24.4700655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4700847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4700917Z     return mod(**inputs)
2025-08-26T20:56:24.4701162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4701224Z     outputs = self.bert(
2025-08-26T20:56:24.4701473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4701545Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4701790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4701876Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4702093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4702176Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4702417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4702521Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4702755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4702822Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4703068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4703134Z     self_outputs = self.self(
2025-08-26T20:56:24.4703374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4703442Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4703685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4703785Z     self.value(current_states)
2025-08-26T20:56:24.4703789Z 
2025-08-26T20:56:24.4703873Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4703986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4704193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4704275Z     return mod(**inputs)
2025-08-26T20:56:24.4704518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4704581Z     outputs = self.bert(
2025-08-26T20:56:24.4704837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4704908Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4705158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4705229Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4705447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4705534Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4705777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4705863Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4706128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4706202Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4706466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4706536Z     self_outputs = self.self(
2025-08-26T20:56:24.4706790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4706862Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4707122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4707265Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4707269Z 
2025-08-26T20:56:24.4707375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4707587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4707655Z     return mod(**inputs)
2025-08-26T20:56:24.4707936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4708004Z     outputs = self.bert(
2025-08-26T20:56:24.4708262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4708348Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4708607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4708717Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4708949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4709029Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4709287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4709371Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4709625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4709695Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4709953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4710106Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4710359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4710455Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4710459Z 
2025-08-26T20:56:24.4710564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4710775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4710841Z     return mod(**inputs)
2025-08-26T20:56:24.4711100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4711174Z     outputs = self.bert(
2025-08-26T20:56:24.4711428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4711512Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4711764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4711846Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4712073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4712153Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4712435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4712526Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4712888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4712977Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4713275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4713415Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4713676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4713773Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4713777Z 
2025-08-26T20:56:24.4713887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4714115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4714184Z     return mod(**inputs)
2025-08-26T20:56:24.4714600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4714686Z     outputs = self.bert(
2025-08-26T20:56:24.4714942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4715026Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4715278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4715379Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4715617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4715698Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4715960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4716049Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4716320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4716406Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4716740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4716870Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4717134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4717257Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4717484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4717557Z     return self.act(input)
2025-08-26T20:56:24.4717561Z 
2025-08-26T20:56:24.4717676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4717887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4717959Z     return mod(**inputs)
2025-08-26T20:56:24.4718226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4718294Z     outputs = self.bert(
2025-08-26T20:56:24.4718564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4718640Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4718907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4718980Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4719246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4719339Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4719589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4719680Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4719948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4720033Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4720319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4720457Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4720720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4720805Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4720809Z 
2025-08-26T20:56:24.4720949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4721153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4721220Z     return mod(**inputs)
2025-08-26T20:56:24.4721486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4721554Z     outputs = self.bert(
2025-08-26T20:56:24.4721834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4721909Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4722169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4722237Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4722445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4722528Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4722757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4722859Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4723086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4723153Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4723393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4723459Z     self_outputs = self.self(
2025-08-26T20:56:24.4723698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4723769Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4724005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4724210Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4724215Z 
2025-08-26T20:56:24.4724312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4724505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4724567Z     return mod(**inputs)
2025-08-26T20:56:24.4724819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4724881Z     outputs = self.bert(
2025-08-26T20:56:24.4725140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4725224Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4725464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4725540Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4725754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4725831Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4726079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4726160Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4726403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4726470Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4726718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4726786Z     self_outputs = self.self(
2025-08-26T20:56:24.4727037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4727113Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4727360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4727438Z     self.key(current_states)
2025-08-26T20:56:24.4727441Z 
2025-08-26T20:56:24.4727541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4727749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4727821Z     return mod(**inputs)
2025-08-26T20:56:24.4728062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4728134Z     outputs = self.bert(
2025-08-26T20:56:24.4728374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4728445Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4728689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4728773Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4728996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4729072Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4729307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4729394Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4729630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4729703Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4729946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4730018Z     self_outputs = self.self(
2025-08-26T20:56:24.4730262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4730328Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4730565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4730634Z     self.value(current_states)
2025-08-26T20:56:24.4730637Z 
2025-08-26T20:56:24.4730719Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4730816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4731018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4731088Z     return mod(**inputs)
2025-08-26T20:56:24.4731320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4731388Z     outputs = self.bert(
2025-08-26T20:56:24.4731622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4731693Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4731931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4731996Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4732215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4732290Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4732535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4732613Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4732867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4732942Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4733173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4733248Z     self_outputs = self.self(
2025-08-26T20:56:24.4733476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4733557Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4733798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4733930Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4733933Z 
2025-08-26T20:56:24.4734040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4734227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4734288Z     return mod(**inputs)
2025-08-26T20:56:24.4734532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4734611Z     outputs = self.bert(
2025-08-26T20:56:24.4734852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4734923Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4735161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4735228Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4735440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4735521Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4735755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4735842Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4736069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4736136Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4736375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4736500Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4736736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4736832Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4736836Z 
2025-08-26T20:56:24.4736943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4737128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4737188Z     return mod(**inputs)
2025-08-26T20:56:24.4737431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4737494Z     outputs = self.bert(
2025-08-26T20:56:24.4737736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4737804Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4738035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4738108Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4738318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4738399Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4738647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4738735Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4738996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4739071Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4739364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4739482Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4739725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4739809Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4739812Z 
2025-08-26T20:56:24.4739912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4740110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4740173Z     return mod(**inputs)
2025-08-26T20:56:24.4740422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4740539Z     outputs = self.bert(
2025-08-26T20:56:24.4740786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4740863Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4741092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4741166Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4741383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4741459Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4741703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4741782Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4742042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4742116Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4742394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4742508Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4742763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4742882Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4743094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4743168Z     return self.act(input)
2025-08-26T20:56:24.4743171Z 
2025-08-26T20:56:24.4743272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4743465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4743535Z     return mod(**inputs)
2025-08-26T20:56:24.4743777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4743849Z     outputs = self.bert(
2025-08-26T20:56:24.4744088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4744166Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4744401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4744485Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4744706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4744781Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4745029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4745108Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4745377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4745459Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4745728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4745866Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4746111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4746195Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4746198Z 
2025-08-26T20:56:24.4746316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4746510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4746581Z     return mod(**inputs)
2025-08-26T20:56:24.4746825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4746901Z     outputs = self.bert(
2025-08-26T20:56:24.4747154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4747232Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4747514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4747588Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4747823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4747905Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4748170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4748265Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4748525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4748604Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4748887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4748968Z     self_outputs = self.self(
2025-08-26T20:56:24.4749231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4749302Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4749575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:56:24.4749798Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:56:24.4749804Z 
2025-08-26T20:56:24.4749917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4750133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4750199Z     return mod(**inputs)
2025-08-26T20:56:24.4750493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4750559Z     outputs = self.bert(
2025-08-26T20:56:24.4750839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4750915Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4751179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4751260Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4751487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4751592Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4751857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4751948Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4752206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4752276Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4752537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4752673Z     self_outputs = self.self(
2025-08-26T20:56:24.4752968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4753039Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4753294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:56:24.4753382Z     self.key(current_states)
2025-08-26T20:56:24.4753386Z 
2025-08-26T20:56:24.4753497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4753714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4753782Z     return mod(**inputs)
2025-08-26T20:56:24.4754047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4754124Z     outputs = self.bert(
2025-08-26T20:56:24.4754387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4754477Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4754737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4754821Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4755047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4755123Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4755386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4755467Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4755713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4755784Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4756026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4756107Z     self_outputs = self.self(
2025-08-26T20:56:24.4756343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4756423Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4756666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:56:24.4756738Z     self.value(current_states)
2025-08-26T20:56:24.4756748Z 
2025-08-26T20:56:24.4756833Z cudagraph partition due to non gpu ops
2025-08-26T20:56:24.4756935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4757155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4757220Z     return mod(**inputs)
2025-08-26T20:56:24.4757468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4757532Z     outputs = self.bert(
2025-08-26T20:56:24.4757776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4757872Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4758113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4758187Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4758407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4758482Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4758733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4758812Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4759071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4759137Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4759376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:56:24.4759448Z     self_outputs = self.self(
2025-08-26T20:56:24.4759683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4759754Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4759999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:56:24.4760140Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:24.4760143Z 
2025-08-26T20:56:24.4760245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4760447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4760521Z     return mod(**inputs)
2025-08-26T20:56:24.4760782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4760855Z     outputs = self.bert(
2025-08-26T20:56:24.4761114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4761188Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4761468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4761543Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4761782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4761865Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4762123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:56:24.4762219Z     self_attention_outputs = self.attention(
2025-08-26T20:56:24.4762478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:24.4762557Z     return func(*args, **kwargs)
2025-08-26T20:56:24.4762810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:56:24.4762953Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:56:24.4763225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:56:24.4763311Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4763315Z 
2025-08-26T20:56:24.4763429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4763635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4763711Z     return mod(**inputs)
2025-08-26T20:56:24.4763968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4764063Z     outputs = self.bert(
2025-08-26T20:56:24.4764324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4764398Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4764657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4764730Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4764958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4765045Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4765315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4765409Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4765682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4765768Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4766054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4766180Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4766441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:56:24.4766527Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4766531Z 
2025-08-26T20:56:24.4766644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4766845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4766912Z     return mod(**inputs)
2025-08-26T20:56:24.4767174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4767242Z     outputs = self.bert(
2025-08-26T20:56:24.4767503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4767578Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4767856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4767932Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4768163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4768250Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4768505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4768599Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4768869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4768947Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4769242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:56:24.4769368Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:56:24.4769651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:56:24.4769768Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:56:24.4769995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:56:24.4770068Z     return self.act(input)
2025-08-26T20:56:24.4770072Z 
2025-08-26T20:56:24.4770179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4770408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4770474Z     return mod(**inputs)
2025-08-26T20:56:24.4770738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:56:24.4770806Z     outputs = self.bert(
2025-08-26T20:56:24.4771063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:56:24.4771145Z     encoder_outputs = self.encoder(
2025-08-26T20:56:24.4771396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:56:24.4771499Z     layer_outputs = layer_module(
2025-08-26T20:56:24.4771725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:24.4771809Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:24.4772072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:56:24.4772157Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:56:24.4772432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:56:24.4772510Z     return forward_fn(*input_tensors)
2025-08-26T20:56:24.4772802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:56:24.4772939Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:56:24.4773193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:56:24.4773287Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4773292Z 
2025-08-26T20:56:24.4773400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4773607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4773672Z     return mod(**inputs)
2025-08-26T20:56:24.4773946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-26T20:56:24.4774054Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:56:24.4774308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-26T20:56:24.4774431Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:56:24.4774685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 769, in forward
2025-08-26T20:56:24.4774789Z     hidden_states = self.transform(hidden_states)
2025-08-26T20:56:24.4775042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 745, in forward
2025-08-26T20:56:24.4775127Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:56:24.4775131Z 
2025-08-26T20:56:24.4775243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:24.4775445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:24.4775516Z     return mod(**inputs)
2025-08-26T20:56:24.4775790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-26T20:56:24.4775887Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:56:24.4776144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-26T20:56:24.4776260Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:56:24.4776518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 770, in forward
2025-08-26T20:56:24.4776631Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:56:24.4776635Z 
2025-08-26T20:56:36.6787715Z Compilation time (from dynamo_timed): 38.10672874
2025-08-26T20:56:36.6937189Z pass
2025-08-26T20:56:36.6937882Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:36.6938979Z TIMING: _recursive_pre_grad_passes:0.01046 _recursive_joint_graph_passes:0.82664 _recursive_post_grad_passes:0.12589 async_compile.wait:0.80365 code_gen:9.97322 inductor_compile:14.90685 backend_compile:29.92424 gc:0.00038 entire_frame_compile:38.10673 total_wall_time:38.10673
2025-08-26T20:56:36.6940233Z STATS: call_* op count: 550 | FakeTensorMode.__torch_dispatch__:23525 | attempt fast:54 | fast is_contiguous:50 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:8203 | ProxyTorchDispatchMode.__torch_dispatch__:8597
2025-08-26T20:56:36.6941190Z Dynamo produced 1 graphs covering 550 ops with 0 graph breaks (0 unique)
2025-08-26T20:56:42.6590179Z 
2025-08-26T20:56:44.0552372Z 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.
2025-08-26T20:56:44.0560198Z   - 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
2025-08-26T20:56:44.0561137Z   - 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).
2025-08-26T20:56:44.0561916Z   - If you are not the owner of the model architecture class, please contact the model code owner to update it.
2025-08-26T20:56:44.0563635Z 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.
2025-08-26T20:56:44.0564973Z   - 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
2025-08-26T20:56:44.0565839Z   - 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).
2025-08-26T20:56:44.0566517Z   - If you are not the owner of the model architecture class, please contact the model code owner to update it.
2025-08-26T20:56:45.5567033Z Input ids are automatically padded from 819 to 832 to be a multiple of `config.block_size`: 64
2025-08-26T20:56:45.5567996Z 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
2025-08-26T20:56:46.8958360Z 
2025-08-26T20:56:46.8958977Z loading model: 0it [00:04, ?it/s]
2025-08-26T20:56:46.8978104Z cpu  eval  hf_BigBird                         
2025-08-26T20:56:49.9982354Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:51.5328990Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:53.0920056Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:57:01.5461231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:01.5461841Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1897, in forward
2025-08-26T20:57:01.5462858Z     attention_mask = torch.ones(((batch_size, seq_length + past_key_values_length)), device=device)
2025-08-26T20:57:01.5463129Z 
2025-08-26T20:57:02.7418288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:02.7419024Z    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
2025-08-26T20:57:02.7419637Z     input_ids = nn.functional.pad(input_ids, (0, padding_len), value=pad_token_id)
2025-08-26T20:57:02.7420075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:02.7420825Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:02.7421005Z 
2025-08-26T20:57:02.7421124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:02.7421698Z    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
2025-08-26T20:57:02.7422251Z     attention_mask = nn.functional.pad(
2025-08-26T20:57:02.7422639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:02.7423036Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:02.7423211Z 
2025-08-26T20:57:02.7423330Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:02.7423877Z    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
2025-08-26T20:57:02.7424586Z     token_type_ids = nn.functional.pad(token_type_ids, (0, padding_len), value=0)  # pad with token_type_id = 0
2025-08-26T20:57:02.7425090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:02.7425461Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:02.7425632Z 
2025-08-26T20:57:06.5038947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:06.5044371Z    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
2025-08-26T20:57:06.5045019Z     embedding_output = self.embeddings(
2025-08-26T20:57:06.5050836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 292, in forward
2025-08-26T20:57:06.5056634Z     embeddings += position_embeddings
2025-08-26T20:57:06.5056993Z 
2025-08-26T20:57:06.5057303Z cudagraph partition due to non gpu ops
2025-08-26T20:57:06.5057572Z cudagraph partition due to non gpu ops
2025-08-26T20:57:06.5057947Z cudagraph partition due to non gpu ops
2025-08-26T20:57:06.5058781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:06.5059583Z    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
2025-08-26T20:57:06.5060342Z     blocked_encoder_mask, band_mask, from_mask, to_mask = self.create_masks_for_block_sparse_attn(
2025-08-26T20:57:06.5061099Z   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
2025-08-26T20:57:06.5061999Z     band_mask = create_band_mask_from_inputs(blocked_encoder_mask, blocked_encoder_mask)
2025-08-26T20:57:06.5062604Z   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
2025-08-26T20:57:06.5063094Z     exp_blocked_to_pad = torch.cat(
2025-08-26T20:57:06.5063240Z 
2025-08-26T20:57:06.5063366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:06.5063882Z    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
2025-08-26T20:57:06.5064544Z     blocked_encoder_mask, band_mask, from_mask, to_mask = self.create_masks_for_block_sparse_attn(
2025-08-26T20:57:06.5065115Z   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
2025-08-26T20:57:06.5065648Z     band_mask = create_band_mask_from_inputs(blocked_encoder_mask, blocked_encoder_mask)
2025-08-26T20:57:06.5066172Z   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
2025-08-26T20:57:06.5066712Z     band_mask = torch.einsum("blq,blk->blqk", from_blocked_mask[:, 2:-2], exp_blocked_to_pad)
2025-08-26T20:57:06.5066997Z 
2025-08-26T20:57:13.2641959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:13.2645516Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-26T20:57:13.2645967Z     self.query(hidden_states)
2025-08-26T20:57:13.2651780Z 
2025-08-26T20:57:13.2654998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:13.2660360Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-26T20:57:13.2662836Z     self.key(hidden_states)
2025-08-26T20:57:13.2663112Z 
2025-08-26T20:57:13.2669455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:13.2670028Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-26T20:57:13.2670485Z     self.value(hidden_states)
2025-08-26T20:57:13.2670632Z 
2025-08-26T20:57:14.7479464Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:14.7480141Z    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
2025-08-26T20:57:14.7480747Z     plan_block_length = np.array(plan_from_length) // from_block_size
2025-08-26T20:57:14.7480952Z 
2025-08-26T20:57:18.7913397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7914726Z    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
2025-08-26T20:57:18.7915450Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-26T20:57:18.7916066Z   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
2025-08-26T20:57:18.7916664Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:57:18.7916915Z 
2025-08-26T20:57:18.7917047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7917636Z    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
2025-08-26T20:57:18.7918303Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-26T20:57:18.7918942Z   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
2025-08-26T20:57:18.7919519Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:57:18.7919755Z 
2025-08-26T20:57:18.7919880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7920452Z    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
2025-08-26T20:57:18.7921124Z     first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4)
2025-08-26T20:57:18.7921660Z   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
2025-08-26T20:57:18.7922229Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:57:18.7922484Z 
2025-08-26T20:57:18.7922583Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7922822Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7923039Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7923264Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7923482Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7923755Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7923962Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7924180Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7924404Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7924627Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7924839Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7925056Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7925276Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7925503Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7925713Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7925936Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7926192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7926763Z    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
2025-08-26T20:57:18.7927427Z     second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4)
2025-08-26T20:57:18.7928008Z   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
2025-08-26T20:57:18.7928558Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:57:18.7928794Z 
2025-08-26T20:57:18.7928877Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7929129Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7929389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7929957Z    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
2025-08-26T20:57:18.7930549Z     to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]),
2025-08-26T20:57:18.7930741Z 
2025-08-26T20:57:18.7930852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7931440Z    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
2025-08-26T20:57:18.7932043Z     rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]),
2025-08-26T20:57:18.7932248Z 
2025-08-26T20:57:18.7932337Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7932557Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7932864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7933447Z    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
2025-08-26T20:57:18.7933988Z     first_band_product = torch.einsum(
2025-08-26T20:57:18.7934134Z 
2025-08-26T20:57:18.7934218Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7934439Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7934659Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7934922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7935480Z    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
2025-08-26T20:57:18.7936017Z     last_band_product = torch.einsum(
2025-08-26T20:57:18.7936157Z 
2025-08-26T20:57:18.7936246Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7936457Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7936679Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7936894Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7937110Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7937316Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7937554Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7937805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7938366Z    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
2025-08-26T20:57:18.7939064Z     second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4)
2025-08-26T20:57:18.7939669Z   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
2025-08-26T20:57:18.7940224Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:57:18.7940455Z 
2025-08-26T20:57:18.7940537Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7940756Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7941002Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7941562Z    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
2025-08-26T20:57:18.7942150Z     to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]),
2025-08-26T20:57:18.7942341Z 
2025-08-26T20:57:18.7942449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7943031Z    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
2025-08-26T20:57:18.7943626Z     rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]),
2025-08-26T20:57:18.7943826Z 
2025-08-26T20:57:18.7943911Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7944133Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7944381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7944943Z    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
2025-08-26T20:57:18.7945591Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-26T20:57:18.7946156Z   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
2025-08-26T20:57:18.7946709Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:57:18.7946938Z 
2025-08-26T20:57:18.7947048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7947656Z    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
2025-08-26T20:57:18.7948306Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-26T20:57:18.7948881Z   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
2025-08-26T20:57:18.7949434Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:57:18.7949668Z 
2025-08-26T20:57:18.7949777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7950342Z    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
2025-08-26T20:57:18.7950959Z     last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4)
2025-08-26T20:57:18.7951480Z   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
2025-08-26T20:57:18.7952025Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:57:18.7952301Z 
2025-08-26T20:57:18.7952411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7953225Z    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
2025-08-26T20:57:18.7953879Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-26T20:57:18.7954457Z   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
2025-08-26T20:57:18.7954913Z     return torch.bmm(
2025-08-26T20:57:18.7955024Z 
2025-08-26T20:57:18.7955132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7955698Z    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
2025-08-26T20:57:18.7956323Z     first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4)
2025-08-26T20:57:18.7956856Z   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
2025-08-26T20:57:18.7957415Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:57:18.7957661Z 
2025-08-26T20:57:18.7957766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7958343Z    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
2025-08-26T20:57:18.7958875Z     rand_attn = np.stack(rand_attn, axis=0)
2025-08-26T20:57:18.7959018Z 
2025-08-26T20:57:18.7959131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7959679Z    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
2025-08-26T20:57:18.7960250Z     rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0)
2025-08-26T20:57:18.7960447Z 
2025-08-26T20:57:18.7960531Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7960776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7961318Z    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
2025-08-26T20:57:18.7961835Z     second_key_mat = torch.cat(
2025-08-26T20:57:18.7961961Z 
2025-08-26T20:57:18.7962087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7962624Z    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
2025-08-26T20:57:18.7963261Z     second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4)
2025-08-26T20:57:18.7963879Z   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
2025-08-26T20:57:18.7964326Z     return torch.bmm(
2025-08-26T20:57:18.7964430Z 
2025-08-26T20:57:18.7964535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7965085Z    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
2025-08-26T20:57:18.7965608Z     second_seq_pad = torch.cat(
2025-08-26T20:57:18.7965742Z 
2025-08-26T20:57:18.7965850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7966398Z    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
2025-08-26T20:57:18.7966965Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:57:18.7967443Z   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
2025-08-26T20:57:18.7968002Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7968520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-26T20:57:18.7969028Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7969253Z 
2025-08-26T20:57:18.7969368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7969909Z    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
2025-08-26T20:57:18.7970454Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:57:18.7970931Z   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
2025-08-26T20:57:18.7971475Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7972005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-26T20:57:18.7972504Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7972732Z 
2025-08-26T20:57:18.7972839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7973397Z    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
2025-08-26T20:57:18.7973954Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:57:18.7974454Z   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
2025-08-26T20:57:18.7974996Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7975492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-26T20:57:18.7975996Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7976221Z 
2025-08-26T20:57:18.7976378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7976929Z    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
2025-08-26T20:57:18.7977471Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:57:18.7977939Z   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
2025-08-26T20:57:18.7978499Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7979001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-26T20:57:18.7979504Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7979722Z 
2025-08-26T20:57:18.7979835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7980369Z    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
2025-08-26T20:57:18.7980939Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:57:18.7981428Z   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
2025-08-26T20:57:18.7981974Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:57:18.7982196Z 
2025-08-26T20:57:18.7982286Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.7982528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7983080Z    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
2025-08-26T20:57:18.7983605Z     second_rand_pad = torch.cat(
2025-08-26T20:57:18.7983735Z 
2025-08-26T20:57:18.7983846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7984394Z    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
2025-08-26T20:57:18.7984912Z     second_value_mat = torch.cat(
2025-08-26T20:57:18.7985051Z 
2025-08-26T20:57:18.7985154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7985700Z    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
2025-08-26T20:57:18.7986347Z     second_context_layer = self.torch_bmm_nd(second_attn_weights, second_value_mat, ndim=4)
2025-08-26T20:57:18.7986875Z   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
2025-08-26T20:57:18.7987410Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:57:18.7987658Z 
2025-08-26T20:57:18.7987763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7988307Z    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
2025-08-26T20:57:18.7988840Z     first_band_product = torch.einsum(
2025-08-26T20:57:18.7988983Z 
2025-08-26T20:57:18.7989096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7989663Z    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
2025-08-26T20:57:18.7990203Z     exp_blocked_key_matrix = torch.cat(
2025-08-26T20:57:18.7990354Z 
2025-08-26T20:57:18.7990483Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7991038Z    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
2025-08-26T20:57:18.7991705Z     inner_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, exp_blocked_key_matrix, ndim=5)
2025-08-26T20:57:18.7992328Z   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
2025-08-26T20:57:18.7992874Z     return torch.bmm(
2025-08-26T20:57:18.7992993Z 
2025-08-26T20:57:18.7993102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7993667Z    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
2025-08-26T20:57:18.7994335Z     rand_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, gathered_key[:, :, 1:-1], ndim=5)
2025-08-26T20:57:18.7994928Z   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
2025-08-26T20:57:18.7995410Z     return torch.bmm(
2025-08-26T20:57:18.7995518Z 
2025-08-26T20:57:18.7995624Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7996192Z    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
2025-08-26T20:57:18.7996738Z     last_band_product = torch.einsum(
2025-08-26T20:57:18.7996881Z 
2025-08-26T20:57:18.7996997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7997558Z    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
2025-08-26T20:57:18.7998190Z     first_band_product += (1.0 - to_mask[:, :, :, :to_block_size].unsqueeze(3)) * attn_mask_penalty
2025-08-26T20:57:18.7998433Z 
2025-08-26T20:57:18.7998542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.7999105Z    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
2025-08-26T20:57:18.7999700Z     inner_band_product += (1.0 - band_mask) * attn_mask_penalty
2025-08-26T20:57:18.7999883Z 
2025-08-26T20:57:18.7999998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8000568Z    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
2025-08-26T20:57:18.8001161Z     rand_band_product += (1.0 - rand_mask[:, :, 1:-1]) * attn_mask_penalty
2025-08-26T20:57:18.8001362Z 
2025-08-26T20:57:18.8001468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8002027Z    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
2025-08-26T20:57:18.8002645Z     last_band_product += (1.0 - to_mask[:, :, :, -to_block_size:].unsqueeze(3)) * attn_mask_penalty
2025-08-26T20:57:18.8002870Z 
2025-08-26T20:57:18.8002983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8003529Z    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
2025-08-26T20:57:18.8004062Z     band_product = torch.cat(
2025-08-26T20:57:18.8004196Z 
2025-08-26T20:57:18.8004302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8004877Z    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
2025-08-26T20:57:18.8005424Z     exp_blocked_value_matrix = torch.cat(
2025-08-26T20:57:18.8005567Z 
2025-08-26T20:57:18.8005672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8006216Z    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
2025-08-26T20:57:18.8006759Z     context_layer = self.torch_bmm_nd(
2025-08-26T20:57:18.8007188Z   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
2025-08-26T20:57:18.8007725Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:57:18.8007965Z 
2025-08-26T20:57:18.8008069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8008612Z    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
2025-08-26T20:57:18.8009149Z     context_layer += self.torch_bmm_nd(
2025-08-26T20:57:18.8009573Z   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
2025-08-26T20:57:18.8010107Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:57:18.8010343Z 
2025-08-26T20:57:18.8010449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8010993Z    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
2025-08-26T20:57:18.8011516Z     context_layer += torch.einsum(
2025-08-26T20:57:18.8011656Z 
2025-08-26T20:57:18.8011764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8012310Z    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
2025-08-26T20:57:18.8012827Z     context_layer += torch.einsum(
2025-08-26T20:57:18.8012956Z 
2025-08-26T20:57:18.8013062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8013603Z    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
2025-08-26T20:57:18.8014114Z     second_last_key_mat = torch.cat(
2025-08-26T20:57:18.8014247Z 
2025-08-26T20:57:18.8014360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8015144Z    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
2025-08-26T20:57:18.8015829Z     second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4)
2025-08-26T20:57:18.8016443Z   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
2025-08-26T20:57:18.8016899Z     return torch.bmm(
2025-08-26T20:57:18.8017002Z 
2025-08-26T20:57:18.8017118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8017679Z    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
2025-08-26T20:57:18.8018204Z     second_last_seq_pad = torch.cat(
2025-08-26T20:57:18.8018346Z 
2025-08-26T20:57:18.8018433Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.8018679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8019272Z    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
2025-08-26T20:57:18.8019793Z     second_last_rand_pad = torch.cat(
2025-08-26T20:57:18.8019929Z 
2025-08-26T20:57:18.8020033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8020572Z    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
2025-08-26T20:57:18.8021138Z     second_last_value_mat = torch.cat(
2025-08-26T20:57:18.8021276Z 
2025-08-26T20:57:18.8021395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8021949Z    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
2025-08-26T20:57:18.8022609Z     second_last_context_layer = self.torch_bmm_nd(second_last_attn_weights, second_last_value_mat, ndim=4)
2025-08-26T20:57:18.8023181Z   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
2025-08-26T20:57:18.8023777Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:57:18.8024101Z 
2025-08-26T20:57:18.8024212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8024771Z    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
2025-08-26T20:57:18.8025415Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-26T20:57:18.8025980Z   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
2025-08-26T20:57:18.8026429Z     return torch.bmm(
2025-08-26T20:57:18.8026541Z 
2025-08-26T20:57:18.8026646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8027208Z    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
2025-08-26T20:57:18.8027825Z     last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4)
2025-08-26T20:57:18.8028337Z   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
2025-08-26T20:57:18.8028892Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:57:18.8029148Z 
2025-08-26T20:57:18.8029258Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.8029494Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.8029774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8030338Z    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
2025-08-26T20:57:18.8030881Z     context_layer += torch.einsum(
2025-08-26T20:57:18.8031027Z 
2025-08-26T20:57:18.8031110Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.8031336Z cudagraph partition due to non gpu ops
2025-08-26T20:57:18.8031593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8032154Z    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
2025-08-26T20:57:18.8032763Z     context_layer = torch.cat(
2025-08-26T20:57:18.8032903Z 
2025-08-26T20:57:18.8033013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:18.8033602Z    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
2025-08-26T20:57:18.8034221Z     context_layer = context_layer.view((bsz, n_heads, from_seq_len, -1)) * from_mask
2025-08-26T20:57:18.8034452Z 
2025-08-26T20:57:24.8805219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8805864Z    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
2025-08-26T20:57:24.8806876Z     context_layer = context_layer.contiguous().view(batch_size, from_seq_length, -1)
2025-08-26T20:57:24.8807121Z 
2025-08-26T20:57:25.7263399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:25.7267066Z    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
2025-08-26T20:57:25.7267704Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:25.7268211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward
2025-08-26T20:57:25.7268671Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:25.7269188Z 
2025-08-26T20:57:26.7951084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:26.7951753Z    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
2025-08-26T20:57:26.7952328Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:26.7953152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:26.7953728Z     return forward_fn(*input_tensors)
2025-08-26T20:57:26.7954546Z   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
2025-08-26T20:57:26.7955263Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:57:26.7955884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward
2025-08-26T20:57:26.7956409Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:26.7956642Z 
2025-08-26T20:57:26.7956788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:26.7957426Z    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
2025-08-26T20:57:26.7958066Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:26.7958832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:26.7959322Z     return forward_fn(*input_tensors)
2025-08-26T20:57:26.7972333Z   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
2025-08-26T20:57:26.7972994Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:57:26.7973497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-26T20:57:26.7973986Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:26.7974414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:57:26.7974986Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:57:26.7975303Z 
2025-08-26T20:57:26.7975427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:26.7976193Z    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
2025-08-26T20:57:26.7976709Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:26.7977145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:26.7977575Z     return forward_fn(*input_tensors)
2025-08-26T20:57:26.7978023Z   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
2025-08-26T20:57:26.7978605Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:57:26.7979080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1415, in forward
2025-08-26T20:57:26.7979512Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:26.7979660Z 
2025-08-26T20:57:28.3426167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:28.3426843Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-26T20:57:28.3427306Z     self.query(hidden_states)
2025-08-26T20:57:28.3427440Z 
2025-08-26T20:57:28.3427557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:28.3428405Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-26T20:57:28.3428836Z     self.key(hidden_states)
2025-08-26T20:57:28.3428978Z 
2025-08-26T20:57:28.3429104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:28.3429575Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-26T20:57:28.3430004Z     self.value(hidden_states)
2025-08-26T20:57:28.3430134Z 
2025-08-26T20:57:36.9227435Z W0826 20:57:36.921646 20862 site-packages/torch/_dynamo/convert_frame.py:1347] [10/8] torch._dynamo hit config.recompile_limit (8)
2025-08-26T20:57:36.9228328Z W0826 20:57:36.921646 20862 site-packages/torch/_dynamo/convert_frame.py:1347] [10/8]    function: 'forward' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:417)
2025-08-26T20:57:36.9230012Z W0826 20:57:36.921646 20862 site-packages/torch/_dynamo/convert_frame.py:1347] [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.)
2025-08-26T20:57:36.9231897Z W0826 20:57:36.921646 20862 site-packages/torch/_dynamo/convert_frame.py:1347] [10/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-26T20:57:36.9233189Z W0826 20:57:36.921646 20862 site-packages/torch/_dynamo/convert_frame.py:1347] [10/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-26T20:57:37.3818672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:37.3819357Z    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
2025-08-26T20:57:37.3820103Z     pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None
2025-08-26T20:57:37.3820452Z 
2025-08-26T20:57:37.3820592Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:37.3821199Z    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
2025-08-26T20:57:37.3822168Z     pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None
2025-08-26T20:57:37.3822473Z 
2025-08-26T20:57:37.7092881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:37.7093768Z    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
2025-08-26T20:57:37.7094554Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:57:37.7095027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-26T20:57:37.7095922Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:57:37.7096410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward
2025-08-26T20:57:37.7096876Z     hidden_states = self.transform(hidden_states)
2025-08-26T20:57:37.7097336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward
2025-08-26T20:57:37.7097778Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:37.7097933Z 
2025-08-26T20:57:37.7098051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:37.7098644Z    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
2025-08-26T20:57:37.7099160Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:57:37.7099608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-26T20:57:37.7100066Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:57:37.7100492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward
2025-08-26T20:57:37.7100906Z     hidden_states = self.transform(hidden_states)
2025-08-26T20:57:37.7101321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward
2025-08-26T20:57:37.7101730Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:37.7101870Z 
2025-08-26T20:57:37.7101976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:37.7102466Z    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
2025-08-26T20:57:37.7102946Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:57:37.7103362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-26T20:57:37.7103796Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:57:37.7104270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1671, in forward
2025-08-26T20:57:37.7104684Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:57:37.7104835Z 
2025-08-26T20:57:40.0829111Z Compilation time (from dynamo_timed): 43.597051603
2025-08-26T20:57:40.1324309Z pass
2025-08-26T20:57:40.1324814Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:57:40.1325651Z TIMING: gc:0.02713 entire_frame_compile:43.59705 _recursive_pre_grad_passes:0.02653 _recursive_joint_graph_passes:0.30255 _recursive_post_grad_passes:0.0925 async_compile.wait:6.01925 code_gen:12.6571 inductor_compile:14.21463 backend_compile:18.01713 total_wall_time:43.59705
2025-08-26T20:57:40.1326814Z STATS: call_* op count: 378 | FakeTensorMode.__torch_dispatch__:9724 | ProxyTorchDispatchMode.__torch_dispatch__:2603 | FakeTensor.__torch_dispatch__:2636 | attempt fast:48 | slow both tensors nontrivially broadcast:4 | fast is_contiguous:44
2025-08-26T20:57:40.1327530Z Dynamo produced 29 graphs covering 378 ops with 25 graph breaks (2 unique)
2025-08-26T20:57:45.2160649Z 
2025-08-26T20:57:45.8882479Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:57:45.8882710Z 
2025-08-26T20:57:45.8926364Z config.json:   0% 0.00/483 [00:00<?, ?B/s]
2025-08-26T20:57:45.8926817Z config.json: 100% 483/483 [00:00<00:00, 109kB/s]
2025-08-26T20:57:47.8139007Z 
2025-08-26T20:57:47.8139680Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:57:47.8146201Z cpu  eval  hf_DistilBert                      
2025-08-26T20:57:48.6792404Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:57:49.0593142Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:57:49.4365191Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:57:59.1063813Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1064164Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1064461Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1064743Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1064956Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1065174Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1065830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1066262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1066633Z     return mod(**inputs)
2025-08-26T20:57:59.1067110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1067576Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1068038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1068490Z     return self.transformer(
2025-08-26T20:57:59.1068932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1069394Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1069839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1070262Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1070772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1071236Z     sa_output = self.attention(
2025-08-26T20:57:59.1071686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:57:59.1072222Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:57:59.1072521Z 
2025-08-26T20:57:59.1072853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1073285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1073651Z     return mod(**inputs)
2025-08-26T20:57:59.1074097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1074562Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1075008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1075454Z     return self.transformer(
2025-08-26T20:57:59.1075879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1076330Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1076728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1077146Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1077664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1078124Z     sa_output = self.attention(
2025-08-26T20:57:59.1078555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:57:59.1079051Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1079293Z 
2025-08-26T20:57:59.1079413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1079798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1080160Z     return mod(**inputs)
2025-08-26T20:57:59.1080592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1081054Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1081511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1081956Z     return self.transformer(
2025-08-26T20:57:59.1082398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1082904Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1083275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1083662Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1084119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1084567Z     sa_output = self.attention(
2025-08-26T20:57:59.1085009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:57:59.1085541Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1085734Z 
2025-08-26T20:57:59.1085825Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1086087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1086617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1086968Z     return mod(**inputs)
2025-08-26T20:57:59.1087396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1087843Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1088312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1088768Z     return self.transformer(
2025-08-26T20:57:59.1089204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1089636Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1090008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1090404Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1090861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1091305Z     sa_output = self.attention(
2025-08-26T20:57:59.1091738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:57:59.1092261Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:57:59.1092473Z 
2025-08-26T20:57:59.1092586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1093883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1094265Z     return mod(**inputs)
2025-08-26T20:57:59.1094685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1095148Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1095588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1096063Z     return self.transformer(
2025-08-26T20:57:59.1096500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1096959Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1097332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1097717Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1098163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1098585Z     sa_output = self.attention(
2025-08-26T20:57:59.1099007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:57:59.1099472Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:57:59.1099618Z 
2025-08-26T20:57:59.1099726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1100097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1100435Z     return mod(**inputs)
2025-08-26T20:57:59.1100842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1101261Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1101690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1102115Z     return self.transformer(
2025-08-26T20:57:59.1102531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1102956Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1103294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1103655Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1104077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1104576Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1105045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1105606Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1106146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1106557Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1106991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:57:59.1107419Z     x = self.lin1(input)
2025-08-26T20:57:59.1107530Z 
2025-08-26T20:57:59.1107640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1108016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1108352Z     return mod(**inputs)
2025-08-26T20:57:59.1108783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1109207Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1109631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1110053Z     return self.transformer(
2025-08-26T20:57:59.1110464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1110907Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1111265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1111643Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1112076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1112542Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1113110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1113679Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1114268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1114899Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1115339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:57:59.1115773Z     x = self.activation(x)
2025-08-26T20:57:59.1116115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:59.1116474Z     return self.act(input)
2025-08-26T20:57:59.1116590Z 
2025-08-26T20:57:59.1116711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1117088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1117417Z     return mod(**inputs)
2025-08-26T20:57:59.1117825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1118263Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1118696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1119133Z     return self.transformer(
2025-08-26T20:57:59.1119539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1120029Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1120395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1120780Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1121207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1121680Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1122147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1122716Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1123242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1123628Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1124041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:57:59.1124502Z     x = self.lin2(x)
2025-08-26T20:57:59.1124604Z 
2025-08-26T20:57:59.1124717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1125089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1125422Z     return mod(**inputs)
2025-08-26T20:57:59.1125828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1126279Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1126682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1127080Z     return self.transformer(
2025-08-26T20:57:59.1127462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1127870Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1128218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1128580Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1129020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1129427Z     sa_output = self.attention(
2025-08-26T20:57:59.1129834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:57:59.1130318Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:57:59.1130506Z 
2025-08-26T20:57:59.1130615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1130958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1131276Z     return mod(**inputs)
2025-08-26T20:57:59.1131660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1132063Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1132465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1132862Z     return self.transformer(
2025-08-26T20:57:59.1133274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1133698Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1134039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1134413Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1134831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1135241Z     sa_output = self.attention(
2025-08-26T20:57:59.1135641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:57:59.1136098Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1136273Z 
2025-08-26T20:57:59.1136376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1136732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1137050Z     return mod(**inputs)
2025-08-26T20:57:59.1137434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1137844Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1138241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1138706Z     return self.transformer(
2025-08-26T20:57:59.1139122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1139548Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1139916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1140269Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1140702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1141108Z     sa_output = self.attention(
2025-08-26T20:57:59.1141500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:57:59.1141946Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1142129Z 
2025-08-26T20:57:59.1142210Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1142449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1142799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1143140Z     return mod(**inputs)
2025-08-26T20:57:59.1143570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1143983Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1144386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1144789Z     return self.transformer(
2025-08-26T20:57:59.1145175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1145585Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1145932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1146291Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1146703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1147100Z     sa_output = self.attention(
2025-08-26T20:57:59.1147519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:57:59.1148017Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:57:59.1148217Z 
2025-08-26T20:57:59.1148330Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1148734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1149075Z     return mod(**inputs)
2025-08-26T20:57:59.1149479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1149916Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1150342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1150781Z     return self.transformer(
2025-08-26T20:57:59.1151195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1151631Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1152002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1152402Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1152941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1153421Z     sa_output = self.attention(
2025-08-26T20:57:59.1153852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:57:59.1154309Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:57:59.1154458Z 
2025-08-26T20:57:59.1154586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1154956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1155314Z     return mod(**inputs)
2025-08-26T20:57:59.1155731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1156174Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1156598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1157023Z     return self.transformer(
2025-08-26T20:57:59.1157435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1157870Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1158254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1158626Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1159059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1159525Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1160002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1160564Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1161107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1161522Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1161950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:57:59.1162349Z     x = self.lin1(input)
2025-08-26T20:57:59.1162454Z 
2025-08-26T20:57:59.1162556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1162904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1163220Z     return mod(**inputs)
2025-08-26T20:57:59.1163623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1164027Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1164428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1164829Z     return self.transformer(
2025-08-26T20:57:59.1165217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1165616Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1165949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1166305Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1166711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1167152Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1167634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1168186Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1168696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1169091Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1169523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:57:59.1170009Z     x = self.activation(x)
2025-08-26T20:57:59.1170345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:59.1170704Z     return self.act(input)
2025-08-26T20:57:59.1170825Z 
2025-08-26T20:57:59.1170937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1171317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1171658Z     return mod(**inputs)
2025-08-26T20:57:59.1172045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1172478Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1172879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1173284Z     return self.transformer(
2025-08-26T20:57:59.1173661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1174064Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1174407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1174761Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1175169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1175600Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1176041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1176570Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1177082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1177470Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1177917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:57:59.1178316Z     x = self.lin2(x)
2025-08-26T20:57:59.1178421Z 
2025-08-26T20:57:59.1178526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1178879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1179206Z     return mod(**inputs)
2025-08-26T20:57:59.1179609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1180035Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1180467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1180897Z     return self.transformer(
2025-08-26T20:57:59.1181304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1181730Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1182094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1182487Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1182908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1183318Z     sa_output = self.attention(
2025-08-26T20:57:59.1183747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:57:59.1184255Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:57:59.1184442Z 
2025-08-26T20:57:59.1184558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1184922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1185260Z     return mod(**inputs)
2025-08-26T20:57:59.1185660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1186088Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1186511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1186954Z     return self.transformer(
2025-08-26T20:57:59.1187373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1187810Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1188181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1188566Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1189002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1189436Z     sa_output = self.attention(
2025-08-26T20:57:59.1189872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:57:59.1190371Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1190561Z 
2025-08-26T20:57:59.1190688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1191070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1191430Z     return mod(**inputs)
2025-08-26T20:57:59.1191858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1192306Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1192851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1193302Z     return self.transformer(
2025-08-26T20:57:59.1193739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1194186Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1194553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1194934Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1195401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1195833Z     sa_output = self.attention(
2025-08-26T20:57:59.1196278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:57:59.1196763Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1196950Z 
2025-08-26T20:57:59.1197033Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1197348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1197721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1198055Z     return mod(**inputs)
2025-08-26T20:57:59.1198478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1198907Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1199329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1199778Z     return self.transformer(
2025-08-26T20:57:59.1200191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1200622Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1200986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1201372Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1201804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1202241Z     sa_output = self.attention(
2025-08-26T20:57:59.1202634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:57:59.1203099Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:57:59.1203288Z 
2025-08-26T20:57:59.1203390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1203738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1204057Z     return mod(**inputs)
2025-08-26T20:57:59.1204468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1204895Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1205313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1205715Z     return self.transformer(
2025-08-26T20:57:59.1206118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1206542Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1206900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1207276Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1207718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1208155Z     sa_output = self.attention(
2025-08-26T20:57:59.1208546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:57:59.1208959Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:57:59.1209096Z 
2025-08-26T20:57:59.1209205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1209563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1209898Z     return mod(**inputs)
2025-08-26T20:57:59.1210307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1210736Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1211157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1211575Z     return self.transformer(
2025-08-26T20:57:59.1211991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1212396Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1212738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1213092Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1213502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1213967Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1214418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1215085Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1215606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1215989Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1216402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:57:59.1216852Z     x = self.lin1(input)
2025-08-26T20:57:59.1216958Z 
2025-08-26T20:57:59.1217067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1217413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1217734Z     return mod(**inputs)
2025-08-26T20:57:59.1218118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1218525Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1218934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1219331Z     return self.transformer(
2025-08-26T20:57:59.1219723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1220125Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1220467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1220841Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1221284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1221722Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1222190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1222720Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1223224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1223612Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1224031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:57:59.1224467Z     x = self.activation(x)
2025-08-26T20:57:59.1224796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:59.1225125Z     return self.act(input)
2025-08-26T20:57:59.1225246Z 
2025-08-26T20:57:59.1225347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1225701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1226021Z     return mod(**inputs)
2025-08-26T20:57:59.1226435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1226842Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1227250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1227662Z     return self.transformer(
2025-08-26T20:57:59.1228052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1228481Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1228852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1229315Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1229761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1230247Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1230726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1231358Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1231914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1232342Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1232872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:57:59.1233327Z     x = self.lin2(x)
2025-08-26T20:57:59.1233442Z 
2025-08-26T20:57:59.1233558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1233942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1234319Z     return mod(**inputs)
2025-08-26T20:57:59.1234707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1235104Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1235499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1235882Z     return self.transformer(
2025-08-26T20:57:59.1236261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1236693Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1237085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1237468Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1237903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1238331Z     sa_output = self.attention(
2025-08-26T20:57:59.1238770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:57:59.1239271Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:57:59.1239465Z 
2025-08-26T20:57:59.1239587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1239963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1240306Z     return mod(**inputs)
2025-08-26T20:57:59.1240728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1241175Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1241684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1242122Z     return self.transformer(
2025-08-26T20:57:59.1242541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1242969Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1243327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1243723Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1244179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1244629Z     sa_output = self.attention(
2025-08-26T20:57:59.1245048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:57:59.1245533Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1245715Z 
2025-08-26T20:57:59.1245824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1246196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1246560Z     return mod(**inputs)
2025-08-26T20:57:59.1247111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1247546Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1247982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1248421Z     return self.transformer(
2025-08-26T20:57:59.1248847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1249284Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1249647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1250040Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1250482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1250922Z     sa_output = self.attention(
2025-08-26T20:57:59.1251351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:57:59.1251837Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1252037Z 
2025-08-26T20:57:59.1252123Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1252406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1252780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1253114Z     return mod(**inputs)
2025-08-26T20:57:59.1253520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1253957Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1254359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1254764Z     return self.transformer(
2025-08-26T20:57:59.1255147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1255556Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1255899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1256261Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1256686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1257084Z     sa_output = self.attention(
2025-08-26T20:57:59.1257475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:57:59.1257942Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:57:59.1258123Z 
2025-08-26T20:57:59.1258252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1258593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1258929Z     return mod(**inputs)
2025-08-26T20:57:59.1259345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1259773Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1260212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1260648Z     return self.transformer(
2025-08-26T20:57:59.1261071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1261525Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1261889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1262272Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1262708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1263148Z     sa_output = self.attention(
2025-08-26T20:57:59.1263575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:57:59.1264016Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:57:59.1264161Z 
2025-08-26T20:57:59.1264276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1264640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1264981Z     return mod(**inputs)
2025-08-26T20:57:59.1265384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1265816Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1266231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1266659Z     return self.transformer(
2025-08-26T20:57:59.1267092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1267523Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1267893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1268263Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1268696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1269170Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1269641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1270201Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1270737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1271154Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1271610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:57:59.1272036Z     x = self.lin1(input)
2025-08-26T20:57:59.1272147Z 
2025-08-26T20:57:59.1272253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1272683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1273028Z     return mod(**inputs)
2025-08-26T20:57:59.1273475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1273922Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1274340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1274767Z     return self.transformer(
2025-08-26T20:57:59.1275180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1275606Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1275969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1276361Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1276790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1277255Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1277715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1278275Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1278805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1279213Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1279643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:57:59.1280073Z     x = self.activation(x)
2025-08-26T20:57:59.1280405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:59.1280756Z     return self.act(input)
2025-08-26T20:57:59.1280875Z 
2025-08-26T20:57:59.1280985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1281360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1281695Z     return mod(**inputs)
2025-08-26T20:57:59.1282111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1282539Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1282962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1283384Z     return self.transformer(
2025-08-26T20:57:59.1283794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1284211Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1284575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1284952Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1285385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1285839Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1286322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1286887Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1287433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1287843Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1288305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:57:59.1288731Z     x = self.lin2(x)
2025-08-26T20:57:59.1288847Z 
2025-08-26T20:57:59.1288962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1289355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1289705Z     return mod(**inputs)
2025-08-26T20:57:59.1290122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1290579Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1291011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1291465Z     return self.transformer(
2025-08-26T20:57:59.1291884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1292313Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1292684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1293072Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1293516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1293949Z     sa_output = self.attention(
2025-08-26T20:57:59.1294378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:57:59.1294870Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:57:59.1295065Z 
2025-08-26T20:57:59.1295186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1295565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1295905Z     return mod(**inputs)
2025-08-26T20:57:59.1296318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1296755Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1297209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1297644Z     return self.transformer(
2025-08-26T20:57:59.1298083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1298517Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1298888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1299282Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1299720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1300167Z     sa_output = self.attention(
2025-08-26T20:57:59.1300600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:57:59.1301108Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1301295Z 
2025-08-26T20:57:59.1301436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1301809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1302150Z     return mod(**inputs)
2025-08-26T20:57:59.1302566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1303016Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1303470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1303909Z     return self.transformer(
2025-08-26T20:57:59.1304343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1304797Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1305162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1305532Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1305974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1306436Z     sa_output = self.attention(
2025-08-26T20:57:59.1306857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:57:59.1307356Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1307548Z 
2025-08-26T20:57:59.1307635Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1307894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1308277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1308626Z     return mod(**inputs)
2025-08-26T20:57:59.1309050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1309498Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1309945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1310373Z     return self.transformer(
2025-08-26T20:57:59.1310784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1311209Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1311585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1311976Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1312447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1312992Z     sa_output = self.attention(
2025-08-26T20:57:59.1313415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:57:59.1313930Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:57:59.1314136Z 
2025-08-26T20:57:59.1314246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1314772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1315117Z     return mod(**inputs)
2025-08-26T20:57:59.1315518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1315952Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1316378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1316805Z     return self.transformer(
2025-08-26T20:57:59.1317266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1317696Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1318058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1318443Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1318904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1319348Z     sa_output = self.attention(
2025-08-26T20:57:59.1319789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:57:59.1320252Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:57:59.1320400Z 
2025-08-26T20:57:59.1320519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1320901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1321242Z     return mod(**inputs)
2025-08-26T20:57:59.1321647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1322098Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1322527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1322947Z     return self.transformer(
2025-08-26T20:57:59.1323382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1323825Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1324196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1324595Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1325032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1325513Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1325998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1326575Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1327134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1327553Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1328030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:57:59.1328471Z     x = self.lin1(input)
2025-08-26T20:57:59.1328585Z 
2025-08-26T20:57:59.1328704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1329090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1329428Z     return mod(**inputs)
2025-08-26T20:57:59.1329842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1330283Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1330719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1331151Z     return self.transformer(
2025-08-26T20:57:59.1331561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1331987Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1332377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1332759Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1333179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1333648Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1334137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1334706Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1335253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1335662Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1336099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:57:59.1336531Z     x = self.activation(x)
2025-08-26T20:57:59.1336876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:59.1337250Z     return self.act(input)
2025-08-26T20:57:59.1337363Z 
2025-08-26T20:57:59.1337469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1337849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1338186Z     return mod(**inputs)
2025-08-26T20:57:59.1338593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1339015Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1339452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1339873Z     return self.transformer(
2025-08-26T20:57:59.1340285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1340709Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1341064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1341443Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1341875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1342348Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1342850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1343404Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1343938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1344351Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1344780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:57:59.1345200Z     x = self.lin2(x)
2025-08-26T20:57:59.1345302Z 
2025-08-26T20:57:59.1345409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1345784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1346116Z     return mod(**inputs)
2025-08-26T20:57:59.1346524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1346975Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1347401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1347835Z     return self.transformer(
2025-08-26T20:57:59.1348252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1348690Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1349076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1349452Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1349880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1350315Z     sa_output = self.attention(
2025-08-26T20:57:59.1350744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:57:59.1351233Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:57:59.1351434Z 
2025-08-26T20:57:59.1351544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1351951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1352299Z     return mod(**inputs)
2025-08-26T20:57:59.1352794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1353244Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1353691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1354143Z     return self.transformer(
2025-08-26T20:57:59.1354579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1355023Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1355406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1355804Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1356258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1356709Z     sa_output = self.attention(
2025-08-26T20:57:59.1357132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:57:59.1357635Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1357829Z 
2025-08-26T20:57:59.1357973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1358358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1358693Z     return mod(**inputs)
2025-08-26T20:57:59.1359108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1359547Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1359983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1360420Z     return self.transformer(
2025-08-26T20:57:59.1360832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1361268Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1361647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1362038Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1362500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1362937Z     sa_output = self.attention(
2025-08-26T20:57:59.1363369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:57:59.1363850Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:57:59.1364044Z 
2025-08-26T20:57:59.1364134Z cudagraph partition due to non gpu ops
2025-08-26T20:57:59.1364372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1364718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1365036Z     return mod(**inputs)
2025-08-26T20:57:59.1365420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1365822Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1366213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1366614Z     return self.transformer(
2025-08-26T20:57:59.1367017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1367416Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1367758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1368107Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1368516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1368941Z     sa_output = self.attention(
2025-08-26T20:57:59.1369359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:57:59.1369837Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:57:59.1370037Z 
2025-08-26T20:57:59.1370143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1370513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1370844Z     return mod(**inputs)
2025-08-26T20:57:59.1371241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1371668Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1372066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1372508Z     return self.transformer(
2025-08-26T20:57:59.1372929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1373327Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1373682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1374058Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1374488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:57:59.1374911Z     sa_output = self.attention(
2025-08-26T20:57:59.1375294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:57:59.1375706Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:57:59.1375846Z 
2025-08-26T20:57:59.1375949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1376302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1376633Z     return mod(**inputs)
2025-08-26T20:57:59.1377008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1377412Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1377814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1378216Z     return self.transformer(
2025-08-26T20:57:59.1378642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1379058Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1379421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1379806Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1380248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1380727Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1381204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1381787Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1382344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1382767Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1383216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:57:59.1383657Z     x = self.lin1(input)
2025-08-26T20:57:59.1383778Z 
2025-08-26T20:57:59.1383891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1384276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1384618Z     return mod(**inputs)
2025-08-26T20:57:59.1385041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1385486Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1385931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1386367Z     return self.transformer(
2025-08-26T20:57:59.1386798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1387245Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1387625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1388029Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1388474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1388947Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1389425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1390003Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1390558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1390978Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1391418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:57:59.1391881Z     x = self.activation(x)
2025-08-26T20:57:59.1392238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:59.1392670Z     return self.act(input)
2025-08-26T20:57:59.1392804Z 
2025-08-26T20:57:59.1392929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1393307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1393683Z     return mod(**inputs)
2025-08-26T20:57:59.1394102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:57:59.1394548Z     dlbrt_output = self.distilbert(
2025-08-26T20:57:59.1394995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:57:59.1395433Z     return self.transformer(
2025-08-26T20:57:59.1395865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:57:59.1396313Z     layer_outputs = layer_module(
2025-08-26T20:57:59.1396675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:59.1397065Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:59.1397498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:57:59.1397968Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1398431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:57:59.1398991Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:57:59.1399529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:59.1399955Z     return forward_fn(*input_tensors)
2025-08-26T20:57:59.1400397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:57:59.1400842Z     x = self.lin2(x)
2025-08-26T20:57:59.1400944Z 
2025-08-26T20:57:59.1401060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1401430Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1401770Z     return mod(**inputs)
2025-08-26T20:57:59.1402182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 836, in forward
2025-08-26T20:57:59.1402742Z     prediction_logits = self.vocab_transform(hidden_states)  # (bs, seq_length, dim)
2025-08-26T20:57:59.1402972Z 
2025-08-26T20:57:59.1403094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:59.1403467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:57:59.1403812Z     return mod(**inputs)
2025-08-26T20:57:59.1404226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 839, in forward
2025-08-26T20:57:59.1404787Z     prediction_logits = self.vocab_projector(prediction_logits)  # (bs, seq_length, vocab_size)
2025-08-26T20:57:59.1405041Z 
2025-08-26T20:58:07.3289137Z Compilation time (from dynamo_timed): 16.211223523
2025-08-26T20:58:07.3547135Z pass
2025-08-26T20:58:07.3547773Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:07.3549092Z TIMING: _recursive_pre_grad_passes:0.00563 _recursive_joint_graph_passes:0.31661 _recursive_post_grad_passes:0.04615 async_compile.wait:0.66814 code_gen:7.23964 inductor_compile:9.09245 backend_compile:13.61499 gc:0.00078 entire_frame_compile:16.21122 total_wall_time:16.21122
2025-08-26T20:58:07.3550290Z STATS: call_* op count: 151 | FakeTensorMode.__torch_dispatch__:6741 | attempt fast:52 | fast is_contiguous:48 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:2242 | ProxyTorchDispatchMode.__torch_dispatch__:2297
2025-08-26T20:58:07.3550980Z Dynamo produced 1 graphs covering 151 ops with 0 graph breaks (0 unique)
2025-08-26T20:58:11.9859506Z 
2025-08-26T20:58:12.6893245Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:58:12.6893460Z 
2025-08-26T20:58:12.6932303Z config.json:   0% 0.00/665 [00:00<?, ?B/s]
2025-08-26T20:58:12.6932610Z config.json: 100% 665/665 [00:00<00:00, 151kB/s]
2025-08-26T20:58:16.5494159Z 
2025-08-26T20:58:16.5494967Z loading model: 0it [00:04, ?it/s]
2025-08-26T20:58:16.5504287Z cpu  eval  hf_GPT2                            
2025-08-26T20:58:17.0968874Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:17.3430859Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:17.5899226Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:35.2056243Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2059193Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2059439Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2059667Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2059941Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2060181Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2060411Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2060632Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2060873Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2061099Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2061322Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2061550Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2061821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2062257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2062631Z     return mod(**inputs)
2025-08-26T20:58:35.2063073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2063528Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2063968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2064366Z     outputs = block(
2025-08-26T20:58:35.2064735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2065434Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2065871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2066294Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2066704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2067142Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2067580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2068032Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2068434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2069060Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2069577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2070115Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2070311Z 
2025-08-26T20:58:35.2070410Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2070639Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2070860Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2071078Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2071337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2071808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2072165Z     return mod(**inputs)
2025-08-26T20:58:35.2072908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2073371Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2073802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2074204Z     outputs = block(
2025-08-26T20:58:35.2074554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2074949Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2075443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2075855Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2076269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2076703Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2077136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2077555Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2077973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2078416Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2078908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2079444Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2079646Z 
2025-08-26T20:58:35.2079770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2080166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2080523Z     return mod(**inputs)
2025-08-26T20:58:35.2080921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2081429Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2081874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2082284Z     outputs = block(
2025-08-26T20:58:35.2082635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2083037Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2083448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2083867Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2084277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2084725Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2085184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2085588Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2086045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2086491Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2086959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2087445Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2087620Z 
2025-08-26T20:58:35.2087764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2088154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2088505Z     return mod(**inputs)
2025-08-26T20:58:35.2088913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2089341Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2089754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2090154Z     outputs = block(
2025-08-26T20:58:35.2090506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2090900Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2091285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2091673Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2092051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2092471Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2092883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2093256Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2093637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2094042Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2094412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2094827Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2095013Z 
2025-08-26T20:58:35.2095126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2095499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2095833Z     return mod(**inputs)
2025-08-26T20:58:35.2096225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2096642Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2097065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2097462Z     outputs = block(
2025-08-26T20:58:35.2097820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2098202Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2098588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2098982Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2099363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2099804Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2100242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2100661Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2101068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2101498Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2101683Z 
2025-08-26T20:58:35.2101803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2102183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2102542Z     return mod(**inputs)
2025-08-26T20:58:35.2102925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2103344Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2103772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2104159Z     outputs = block(
2025-08-26T20:58:35.2104507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2104895Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2105299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2105712Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2106113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2106555Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2106994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2107430Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2107804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2108317Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2108579Z 
2025-08-26T20:58:35.2108693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2109094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2109443Z     return mod(**inputs)
2025-08-26T20:58:35.2109822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2110253Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2110673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2111142Z     outputs = block(
2025-08-26T20:58:35.2111507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2111900Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2112310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2112785Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2113185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2113619Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2114060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2114868Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2115273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2115710Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2115896Z 
2025-08-26T20:58:35.2116011Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2116458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2116808Z     return mod(**inputs)
2025-08-26T20:58:35.2117197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2117628Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2118048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2118503Z     outputs = block(
2025-08-26T20:58:35.2118862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2119246Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2119655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2120053Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2120443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:58:35.2120889Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:58:35.2121092Z 
2025-08-26T20:58:35.2121214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2121588Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2121939Z     return mod(**inputs)
2025-08-26T20:58:35.2122341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2122774Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2123194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2123604Z     outputs = block(
2025-08-26T20:58:35.2123942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2124333Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2124728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2125122Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2125515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2125944Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2126352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2126739Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2127154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2127680Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2128175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2128603Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2128789Z 
2025-08-26T20:58:35.2128878Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2129111Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2129337Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2129561Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2129806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2130188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2130531Z     return mod(**inputs)
2025-08-26T20:58:35.2130918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2131395Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2131793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2132182Z     outputs = block(
2025-08-26T20:58:35.2132520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2132916Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2133364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2133754Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2134156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2134595Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2135028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2135431Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2135836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2136294Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2136764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2137291Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2137488Z 
2025-08-26T20:58:35.2137598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2137992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2138343Z     return mod(**inputs)
2025-08-26T20:58:35.2138730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2139161Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2139571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2139970Z     outputs = block(
2025-08-26T20:58:35.2140318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2140707Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2141106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2141507Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2141925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2142352Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2142772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2143162Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2143555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2143987Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2144464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2144957Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2145130Z 
2025-08-26T20:58:35.2145242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2145628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2145975Z     return mod(**inputs)
2025-08-26T20:58:35.2146379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2146797Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2147215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2147613Z     outputs = block(
2025-08-26T20:58:35.2147960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2148366Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2148765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2149160Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2149558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2149983Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2150391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2150789Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2151208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2151642Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2152038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2152469Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2152766Z 
2025-08-26T20:58:35.2152886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2153280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2153655Z     return mod(**inputs)
2025-08-26T20:58:35.2154050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2154473Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2154897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2155324Z     outputs = block(
2025-08-26T20:58:35.2155680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2156072Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2156487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2156898Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2157329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2157774Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2158218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2158649Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2159045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2159480Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2159669Z 
2025-08-26T20:58:35.2159790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2160178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2160511Z     return mod(**inputs)
2025-08-26T20:58:35.2160916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2161351Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2161783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2162181Z     outputs = block(
2025-08-26T20:58:35.2162511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2162895Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2163283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2163693Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2164074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2164499Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2164922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2165324Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2165680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2166154Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2166424Z 
2025-08-26T20:58:35.2166533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2166907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2167254Z     return mod(**inputs)
2025-08-26T20:58:35.2167650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2168058Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2168465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2168851Z     outputs = block(
2025-08-26T20:58:35.2169180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2169560Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2169952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2170344Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2170720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2171144Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2171565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2172009Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2172395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2172806Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2172993Z 
2025-08-26T20:58:35.2173100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2173479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2173816Z     return mod(**inputs)
2025-08-26T20:58:35.2174190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2174595Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2175002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2175387Z     outputs = block(
2025-08-26T20:58:35.2175722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2176128Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2176537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2176943Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2177353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2177782Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2178216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2178615Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2179008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2179544Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2180047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2180468Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2180682Z 
2025-08-26T20:58:35.2180771Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2181004Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2181226Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2181442Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2181691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2182075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2182421Z     return mod(**inputs)
2025-08-26T20:58:35.2182815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2183235Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2183657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2184054Z     outputs = block(
2025-08-26T20:58:35.2184402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2184782Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2185188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2185589Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2185982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2186409Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2186844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2187247Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2187643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2188359Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2188844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2189361Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2189570Z 
2025-08-26T20:58:35.2189683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2190073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2190423Z     return mod(**inputs)
2025-08-26T20:58:35.2190808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2191252Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2191666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2192059Z     outputs = block(
2025-08-26T20:58:35.2192407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2192885Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2193339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2193749Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2194156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2194595Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2195016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2195429Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2195834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2196295Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2196747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2197240Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2197420Z 
2025-08-26T20:58:35.2197540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2197911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2198248Z     return mod(**inputs)
2025-08-26T20:58:35.2198613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2199024Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2199424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2199813Z     outputs = block(
2025-08-26T20:58:35.2200148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2200512Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2200917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2201311Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2201702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2202148Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2202553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2202937Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2203324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2203726Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2204143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2204578Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2204767Z 
2025-08-26T20:58:35.2204878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2205260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2205601Z     return mod(**inputs)
2025-08-26T20:58:35.2205968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2206408Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2206830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2207224Z     outputs = block(
2025-08-26T20:58:35.2207564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2207949Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2208389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2208783Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2209169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2209593Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2210021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2210425Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2210799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2211228Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2211414Z 
2025-08-26T20:58:35.2211521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2211899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2212236Z     return mod(**inputs)
2025-08-26T20:58:35.2212610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2213066Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2213489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2213872Z     outputs = block(
2025-08-26T20:58:35.2214207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2214793Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2215189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2215583Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2215967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2216403Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2216886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2217288Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2217661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2218145Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2218395Z 
2025-08-26T20:58:35.2218512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2218888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2219236Z     return mod(**inputs)
2025-08-26T20:58:35.2219634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2220133Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2220551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2220938Z     outputs = block(
2025-08-26T20:58:35.2221312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2221708Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2222111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2222514Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2222920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2223389Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2223833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2224267Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2224651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2225078Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2225268Z 
2025-08-26T20:58:35.2225382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2225765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2226141Z     return mod(**inputs)
2025-08-26T20:58:35.2226520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2226943Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2227361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2227778Z     outputs = block(
2025-08-26T20:58:35.2228118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2228520Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2228940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2229350Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2229747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:58:35.2230189Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:58:35.2230369Z 
2025-08-26T20:58:35.2230483Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2230869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2231213Z     return mod(**inputs)
2025-08-26T20:58:35.2231597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2232047Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2232472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2233053Z     outputs = block(
2025-08-26T20:58:35.2233404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2233789Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2234199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2234601Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2234995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2235422Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2235838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2236242Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2236655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2237171Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2237662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2238081Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2238297Z 
2025-08-26T20:58:35.2238383Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2238617Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2238843Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2239057Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2239318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2239693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2240036Z     return mod(**inputs)
2025-08-26T20:58:35.2240408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2240822Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2241267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2241666Z     outputs = block(
2025-08-26T20:58:35.2242020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2242400Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2242813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2243203Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2243593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2244008Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2244409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2244795Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2245179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2245597Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2246054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2246564Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2246764Z 
2025-08-26T20:58:35.2246900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2247279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2247617Z     return mod(**inputs)
2025-08-26T20:58:35.2247987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2248400Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2248800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2249189Z     outputs = block(
2025-08-26T20:58:35.2249535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2249915Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2250319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2250729Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2251131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2251548Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2251953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2252339Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2252720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2253158Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2253613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2254094Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2254270Z 
2025-08-26T20:58:35.2254378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2254753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2255090Z     return mod(**inputs)
2025-08-26T20:58:35.2255454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2255884Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2256287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2256675Z     outputs = block(
2025-08-26T20:58:35.2257005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2257384Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2257778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2258165Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2258552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2258959Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2259366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2259754Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2260138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2260544Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2260920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2261339Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2261542Z 
2025-08-26T20:58:35.2261660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2262035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2262387Z     return mod(**inputs)
2025-08-26T20:58:35.2262788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2263197Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2263601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2263987Z     outputs = block(
2025-08-26T20:58:35.2264315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2264689Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2265087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2265481Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2265879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2266312Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2266763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2267194Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2267587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2268034Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2268226Z 
2025-08-26T20:58:35.2268340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2268730Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2269079Z     return mod(**inputs)
2025-08-26T20:58:35.2269481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2269904Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2270317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2270733Z     outputs = block(
2025-08-26T20:58:35.2271076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2271464Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2271869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2272265Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2272757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2273206Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2273636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2274052Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2274432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2274918Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2275168Z 
2025-08-26T20:58:35.2275289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2275675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2276026Z     return mod(**inputs)
2025-08-26T20:58:35.2276441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2276863Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2277273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2277667Z     outputs = block(
2025-08-26T20:58:35.2278013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2278402Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2278806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2279198Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2279593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2280043Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2280476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2280928Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2281312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2281738Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2281932Z 
2025-08-26T20:58:35.2282042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2282431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2282779Z     return mod(**inputs)
2025-08-26T20:58:35.2283153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2283566Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2283970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2284352Z     outputs = block(
2025-08-26T20:58:35.2284684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2285072Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2285522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2285917Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2286311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2286727Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2287135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2287522Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2287904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2288413Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2288898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2289311Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2289492Z 
2025-08-26T20:58:35.2289584Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2289810Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2290019Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2290231Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2290477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2290872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2291200Z     return mod(**inputs)
2025-08-26T20:58:35.2291578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2291984Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2292386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2292772Z     outputs = block(
2025-08-26T20:58:35.2293099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2293473Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2293867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2294269Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2294659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2295085Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2295515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2295915Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2296318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2296734Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2297201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2297757Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2297949Z 
2025-08-26T20:58:35.2298070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2298450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2298784Z     return mod(**inputs)
2025-08-26T20:58:35.2299178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2299592Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2300000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2300401Z     outputs = block(
2025-08-26T20:58:35.2300739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2301118Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2301513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2301908Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2302285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2302702Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2303114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2303510Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2303900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2304329Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2304792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2305272Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2305439Z 
2025-08-26T20:58:35.2305554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2305962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2306317Z     return mod(**inputs)
2025-08-26T20:58:35.2306725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2307162Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2307592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2307994Z     outputs = block(
2025-08-26T20:58:35.2308337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2308728Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2309139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2309541Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2309937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2310380Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2310798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2311209Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2311605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2312064Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2312473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2312996Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2313186Z 
2025-08-26T20:58:35.2313306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2313693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2314045Z     return mod(**inputs)
2025-08-26T20:58:35.2314593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2315030Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2315494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2315891Z     outputs = block(
2025-08-26T20:58:35.2316237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2316626Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2317027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2317424Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2317820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2318273Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2318708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2319126Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2319500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2319927Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2320116Z 
2025-08-26T20:58:35.2320227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2320613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2320951Z     return mod(**inputs)
2025-08-26T20:58:35.2321370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2321801Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2322205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2322589Z     outputs = block(
2025-08-26T20:58:35.2322919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2323290Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2323686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2324070Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2324443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2324868Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2325350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2325757Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2326119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2326585Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2326833Z 
2025-08-26T20:58:35.2326942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2327339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2327672Z     return mod(**inputs)
2025-08-26T20:58:35.2328046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2328446Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2328845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2329231Z     outputs = block(
2025-08-26T20:58:35.2329561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2329949Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2330336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2330723Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2331103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2331525Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2331940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2332351Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2332730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2333144Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2333323Z 
2025-08-26T20:58:35.2333441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2333808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2334147Z     return mod(**inputs)
2025-08-26T20:58:35.2334517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2334924Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2335337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2335719Z     outputs = block(
2025-08-26T20:58:35.2336053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2336427Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2336818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2337196Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2337577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:58:35.2338006Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:58:35.2338172Z 
2025-08-26T20:58:35.2338287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2338651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2338977Z     return mod(**inputs)
2025-08-26T20:58:35.2339347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2339786Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2340207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2340600Z     outputs = block(
2025-08-26T20:58:35.2340933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2341319Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2341753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2342160Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2342544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2342967Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2343371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2343763Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2344150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2344687Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2345180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2345607Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2345790Z 
2025-08-26T20:58:35.2345884Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2346110Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2346336Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2346555Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2346807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2347191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2347533Z     return mod(**inputs)
2025-08-26T20:58:35.2347923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2348348Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2348765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2349157Z     outputs = block(
2025-08-26T20:58:35.2349506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2349894Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2350323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2350721Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2351110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2351538Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2351956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2352352Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2352807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2353251Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2353742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2354269Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2354465Z 
2025-08-26T20:58:35.2354612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2355001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2355362Z     return mod(**inputs)
2025-08-26T20:58:35.2355757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2356189Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2356630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2357023Z     outputs = block(
2025-08-26T20:58:35.2357367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2357753Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2358163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2358552Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2358934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2359344Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2359763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2360155Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2360531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2360957Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2361420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2361899Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2362065Z 
2025-08-26T20:58:35.2362180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2362549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2362901Z     return mod(**inputs)
2025-08-26T20:58:35.2363295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2363711Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2364110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2364497Z     outputs = block(
2025-08-26T20:58:35.2364834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2365267Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2365666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2366053Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2366448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2366875Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2367289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2367693Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2368068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2368476Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2368852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2369267Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2369445Z 
2025-08-26T20:58:35.2369573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2369950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2370292Z     return mod(**inputs)
2025-08-26T20:58:35.2370670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2371102Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2371531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2371913Z     outputs = block(
2025-08-26T20:58:35.2372247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2372627Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2373028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2373421Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2373815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2374291Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2374728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2375129Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2375512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2375944Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2376124Z 
2025-08-26T20:58:35.2376245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2376632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2376973Z     return mod(**inputs)
2025-08-26T20:58:35.2377354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2377777Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2378191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2378579Z     outputs = block(
2025-08-26T20:58:35.2378919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2379298Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2379720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2380114Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2380498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2380928Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2381358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2381772Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2382147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2382627Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2382886Z 
2025-08-26T20:58:35.2382997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2383384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2383733Z     return mod(**inputs)
2025-08-26T20:58:35.2384130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2384560Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2384980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2385383Z     outputs = block(
2025-08-26T20:58:35.2385732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2386139Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2386557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2386970Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2387357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2387784Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2388210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2388629Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2389037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2389464Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2389647Z 
2025-08-26T20:58:35.2389765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2390139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2390491Z     return mod(**inputs)
2025-08-26T20:58:35.2390892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2391327Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2391738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2392141Z     outputs = block(
2025-08-26T20:58:35.2392486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2392963Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2393374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2393781Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2394195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2394696Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2395130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2395510Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2395902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2396435Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2396947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2397385Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2397573Z 
2025-08-26T20:58:35.2397670Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2397900Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2398122Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2398337Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2398578Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2398988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2399325Z     return mod(**inputs)
2025-08-26T20:58:35.2399701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2400114Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2400510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2400916Z     outputs = block(
2025-08-26T20:58:35.2401252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2401645Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2402037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2402428Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2402813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2403221Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2403625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2404023Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2404409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2404836Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2405301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2405807Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2405998Z 
2025-08-26T20:58:35.2406106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2406483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2406817Z     return mod(**inputs)
2025-08-26T20:58:35.2407195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2407604Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2408011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2408400Z     outputs = block(
2025-08-26T20:58:35.2408737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2409116Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2409528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2409923Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2410309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2410722Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2411129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2411513Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2411889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2412310Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2412770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2413245Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2413422Z 
2025-08-26T20:58:35.2413532Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2413929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2414264Z     return mod(**inputs)
2025-08-26T20:58:35.2414794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2415209Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2415616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2416053Z     outputs = block(
2025-08-26T20:58:35.2416385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2416757Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2417142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2417535Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2417941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2418349Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2418777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2419168Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2419560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2419985Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2420360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2420774Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2420965Z 
2025-08-26T20:58:35.2421073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2421457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2421799Z     return mod(**inputs)
2025-08-26T20:58:35.2422170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2422586Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2422990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2423380Z     outputs = block(
2025-08-26T20:58:35.2423715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2424086Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2424521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2424926Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2425310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2425732Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2426156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2426572Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2426957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2427379Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2427563Z 
2025-08-26T20:58:35.2427684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2428060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2428404Z     return mod(**inputs)
2025-08-26T20:58:35.2428816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2429240Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2429653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2430057Z     outputs = block(
2025-08-26T20:58:35.2430406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2430813Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2431219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2431607Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2432000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2432440Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2432942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2433353Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2434532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2435012Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2435263Z 
2025-08-26T20:58:35.2435381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2435766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2436101Z     return mod(**inputs)
2025-08-26T20:58:35.2436487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2436907Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2437320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2437714Z     outputs = block(
2025-08-26T20:58:35.2438055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2438437Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2438840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2439233Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2439614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2440080Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2440518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2440943Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2441342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2441754Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2441942Z 
2025-08-26T20:58:35.2442049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2442425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2442764Z     return mod(**inputs)
2025-08-26T20:58:35.2443136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2443543Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2443946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2444361Z     outputs = block(
2025-08-26T20:58:35.2444696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2445059Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2445454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2445841Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2446248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:58:35.2446681Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:58:35.2446845Z 
2025-08-26T20:58:35.2446954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2447332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2447674Z     return mod(**inputs)
2025-08-26T20:58:35.2448052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2448466Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2448881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2449265Z     outputs = block(
2025-08-26T20:58:35.2449600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2449978Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2450366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2450754Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2451136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2451549Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2451951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2452330Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2452711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2453222Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2453706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2454119Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2454296Z 
2025-08-26T20:58:35.2454411Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2454638Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2454859Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2455072Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2455312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2455686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2456025Z     return mod(**inputs)
2025-08-26T20:58:35.2456397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2456800Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2457206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2457586Z     outputs = block(
2025-08-26T20:58:35.2457927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2458303Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2458708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2459099Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2459484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2459898Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2460292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2460697Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2461078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2461508Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2461972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2462467Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2462662Z 
2025-08-26T20:58:35.2462769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2463146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2463235Z     return mod(**inputs)
2025-08-26T20:58:35.2463506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2463596Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2463864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2463930Z     outputs = block(
2025-08-26T20:58:35.2464160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2464251Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2464501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2464580Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2464839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2464938Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2465189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2465259Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2465522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2465640Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2465948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2466067Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2466071Z 
2025-08-26T20:58:35.2466182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2466404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2466471Z     return mod(**inputs)
2025-08-26T20:58:35.2466745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2466835Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2467103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2467172Z     outputs = block(
2025-08-26T20:58:35.2467409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2467518Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2467793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2467871Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2468156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2468247Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2468542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2468612Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2468889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2468978Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2469215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2469350Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2469354Z 
2025-08-26T20:58:35.2469464Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2469697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2469765Z     return mod(**inputs)
2025-08-26T20:58:35.2470054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2470145Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2470404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2470478Z     outputs = block(
2025-08-26T20:58:35.2470720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2470812Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2471067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2471138Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2471426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2471536Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2471823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2471906Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2472158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2472294Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2472298Z 
2025-08-26T20:58:35.2472411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2472695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2472773Z     return mod(**inputs)
2025-08-26T20:58:35.2473067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2473155Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2473418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2473493Z     outputs = block(
2025-08-26T20:58:35.2473735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2473828Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2474085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2474184Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2474454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2474566Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2474839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2474946Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2475181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2475375Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2475379Z 
2025-08-26T20:58:35.2475493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2475717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2475785Z     return mod(**inputs)
2025-08-26T20:58:35.2476075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2476184Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2476457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2476533Z     outputs = block(
2025-08-26T20:58:35.2476766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2476854Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2477123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2477195Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2477478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2477585Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2477852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2477947Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2478187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2478314Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2478317Z 
2025-08-26T20:58:35.2478427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2478666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2478736Z     return mod(**inputs)
2025-08-26T20:58:35.2479011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2479098Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2479358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2479431Z     outputs = block(
2025-08-26T20:58:35.2479666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2479759Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2480016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2480095Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2480367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2480461Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2480740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2480814Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2481082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2481285Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2481537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2481670Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2481674Z 
2025-08-26T20:58:35.2481764Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2481856Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2481941Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2482021Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2482140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2482351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2482427Z     return mod(**inputs)
2025-08-26T20:58:35.2482725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2482810Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2483081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2483145Z     outputs = block(
2025-08-26T20:58:35.2483388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2483471Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2483733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2483807Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2484074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2484175Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2484423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2484499Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2484752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2484851Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2485179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2485314Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2485320Z 
2025-08-26T20:58:35.2485431Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2485634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2485711Z     return mod(**inputs)
2025-08-26T20:58:35.2485976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2486060Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2486327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2486391Z     outputs = block(
2025-08-26T20:58:35.2486633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2486714Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2486983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2487062Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2487313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2487411Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2487657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2487749Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2488012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2488113Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2488428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2488549Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2488552Z 
2025-08-26T20:58:35.2488667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2488871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2488958Z     return mod(**inputs)
2025-08-26T20:58:35.2489232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2489319Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2489587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2489651Z     outputs = block(
2025-08-26T20:58:35.2489891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2489980Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2490236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2490314Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2490573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2490663Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2490924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2490996Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2491265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2491349Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2491602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2491727Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2491731Z 
2025-08-26T20:58:35.2491837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2492049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2492116Z     return mod(**inputs)
2025-08-26T20:58:35.2492379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2492467Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2492716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2492790Z     outputs = block(
2025-08-26T20:58:35.2493015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2493103Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2493366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2493443Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2493700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2493810Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2494071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2494172Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2494406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2494529Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2494533Z 
2025-08-26T20:58:35.2494638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2494849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2494915Z     return mod(**inputs)
2025-08-26T20:58:35.2495181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2495286Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2495539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2495612Z     outputs = block(
2025-08-26T20:58:35.2495839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2495923Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2496174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2496251Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2496510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2496614Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2496875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2496959Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2497188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2497374Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2497378Z 
2025-08-26T20:58:35.2497482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2497715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2497782Z     return mod(**inputs)
2025-08-26T20:58:35.2498053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2498138Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2498398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2498463Z     outputs = block(
2025-08-26T20:58:35.2498691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2498780Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2499033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2499108Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2499366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2499489Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2499749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2499837Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2500070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2500191Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2500210Z 
2025-08-26T20:58:35.2500321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2500524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2500590Z     return mod(**inputs)
2025-08-26T20:58:35.2500857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2500941Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2501198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2501261Z     outputs = block(
2025-08-26T20:58:35.2501502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2501592Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2501840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2501919Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2502172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:58:35.2502281Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:58:35.2502285Z 
2025-08-26T20:58:35.2502398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2502606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2502679Z     return mod(**inputs)
2025-08-26T20:58:35.2502938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2503033Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2503292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2503360Z     outputs = block(
2025-08-26T20:58:35.2503607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2503685Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2503964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2504038Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2504305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2504408Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2504666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2504746Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2505006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2505211Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2505451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2505577Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2505581Z 
2025-08-26T20:58:35.2505713Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2505799Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2505887Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2505966Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2506076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2506294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2506395Z     return mod(**inputs)
2025-08-26T20:58:35.2506669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2506754Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2507022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2507105Z     outputs = block(
2025-08-26T20:58:35.2507342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2507430Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2507687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2507778Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2508052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2508147Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2508409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2508481Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2508745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2508857Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2509170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2509320Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2509326Z 
2025-08-26T20:58:35.2509434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2509654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2509723Z     return mod(**inputs)
2025-08-26T20:58:35.2510011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2510107Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2510397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2510472Z     outputs = block(
2025-08-26T20:58:35.2510709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2510792Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2511067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2511141Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2511422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2511516Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2511791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2511863Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2512140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2512271Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2512651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2512790Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2512798Z 
2025-08-26T20:58:35.2512908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2513119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2513228Z     return mod(**inputs)
2025-08-26T20:58:35.2513515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2513611Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2513886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2513952Z     outputs = block(
2025-08-26T20:58:35.2514197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2514281Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2514699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2514823Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2515104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2515198Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2515463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2515543Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2515815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2515910Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2516141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2516264Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2516270Z 
2025-08-26T20:58:35.2516386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2516595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2516673Z     return mod(**inputs)
2025-08-26T20:58:35.2516960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2517056Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2517344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2517412Z     outputs = block(
2025-08-26T20:58:35.2517654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2517737Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2518012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2518087Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2518349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2518467Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2518737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2518832Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2519063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2519227Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2519239Z 
2025-08-26T20:58:35.2519359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2519562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2519636Z     return mod(**inputs)
2025-08-26T20:58:35.2519894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2520013Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2520266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2520329Z     outputs = block(
2025-08-26T20:58:35.2520573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2520654Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2520918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2520987Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2521289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2521404Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2521658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2521750Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2521971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2522159Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2522171Z 
2025-08-26T20:58:35.2522277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2522479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2522554Z     return mod(**inputs)
2025-08-26T20:58:35.2522811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2522903Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2523162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2523227Z     outputs = block(
2025-08-26T20:58:35.2523466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2523568Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2523834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2523907Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2524166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2524281Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2524539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2524639Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2524868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2524996Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2525000Z 
2025-08-26T20:58:35.2525110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2525316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2525414Z     return mod(**inputs)
2025-08-26T20:58:35.2525678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2525771Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2526033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2526097Z     outputs = block(
2025-08-26T20:58:35.2526359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2526441Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2526706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2526779Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2527042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2527143Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2527400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2527507Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2527762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2527964Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2528191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2528313Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2528319Z 
2025-08-26T20:58:35.2528414Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2528498Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2528587Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2528667Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2528776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2528999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2529066Z     return mod(**inputs)
2025-08-26T20:58:35.2529335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2529423Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2529685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2529757Z     outputs = block(
2025-08-26T20:58:35.2530015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2530102Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2530352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2530428Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2530683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2530772Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2531027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2531095Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2531353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2531455Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2531784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2531931Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2531935Z 
2025-08-26T20:58:35.2532039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2532251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2532318Z     return mod(**inputs)
2025-08-26T20:58:35.2532577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2532687Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2532946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2533022Z     outputs = block(
2025-08-26T20:58:35.2533255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2533350Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2533603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2533674Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2533965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2534058Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2534325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2534397Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2534662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2534774Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2535086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2535212Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2535216Z 
2025-08-26T20:58:35.2535327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2535546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2535614Z     return mod(**inputs)
2025-08-26T20:58:35.2535883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2535979Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2536240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2536333Z     outputs = block(
2025-08-26T20:58:35.2536571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2536653Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2536916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2536990Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2537259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2537353Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2537609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2537689Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2537953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2538047Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2538296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2538432Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2538436Z 
2025-08-26T20:58:35.2538548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2538760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2538838Z     return mod(**inputs)
2025-08-26T20:58:35.2539118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2539212Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2539471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2539536Z     outputs = block(
2025-08-26T20:58:35.2539779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2539863Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2540122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2540212Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2540478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2540595Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2540855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2540947Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2541182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2541317Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2541322Z 
2025-08-26T20:58:35.2541433Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2541642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2541722Z     return mod(**inputs)
2025-08-26T20:58:35.2541987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2542085Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2542344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2542408Z     outputs = block(
2025-08-26T20:58:35.2542673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2542757Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2543023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2543095Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2543354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2543469Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2543730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2543825Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2544051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2544248Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2544252Z 
2025-08-26T20:58:35.2544359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2544582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2544659Z     return mod(**inputs)
2025-08-26T20:58:35.2544925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2545019Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2545282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2545367Z     outputs = block(
2025-08-26T20:58:35.2545609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2545689Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2545954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2546024Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2546297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2546404Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2546685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2546786Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2547026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2547156Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2547159Z 
2025-08-26T20:58:35.2547268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2547485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2547559Z     return mod(**inputs)
2025-08-26T20:58:35.2547835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2547927Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2548196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2548270Z     outputs = block(
2025-08-26T20:58:35.2548511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2548594Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2548863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2548936Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2549226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:58:35.2549342Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:58:35.2549346Z 
2025-08-26T20:58:35.2549454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2549668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2549738Z     return mod(**inputs)
2025-08-26T20:58:35.2550012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2550098Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2550358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2550435Z     outputs = block(
2025-08-26T20:58:35.2550671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2550761Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2551042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2551123Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2551386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2551482Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2551750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2551839Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2552117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:58:35.2552316Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:58:35.2552548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2552828Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2552842Z 
2025-08-26T20:58:35.2552936Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2553030Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2553152Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2553231Z cudagraph partition due to non gpu ops
2025-08-26T20:58:35.2553348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2553564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2553641Z     return mod(**inputs)
2025-08-26T20:58:35.2553931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2554030Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2554315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2554384Z     outputs = block(
2025-08-26T20:58:35.2554628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2554708Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2554976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2555047Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2555314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2555414Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2555714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2555795Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2556056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2556161Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2556476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:58:35.2556617Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:58:35.2556621Z 
2025-08-26T20:58:35.2556739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2556950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2557025Z     return mod(**inputs)
2025-08-26T20:58:35.2557314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2557402Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2557694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2557761Z     outputs = block(
2025-08-26T20:58:35.2558001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2558087Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2558354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2558465Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2558732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2558828Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2559087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2559156Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2559430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:58:35.2559530Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:58:35.2559841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:58:35.2559974Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:58:35.2559980Z 
2025-08-26T20:58:35.2560089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2560293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2560360Z     return mod(**inputs)
2025-08-26T20:58:35.2560625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2560709Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2560981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2561045Z     outputs = block(
2025-08-26T20:58:35.2561271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2561361Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2561617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2561693Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2561944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:58:35.2562038Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:58:35.2562306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2562376Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2562639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:58:35.2562723Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:58:35.2562955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2563075Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2563080Z 
2025-08-26T20:58:35.2563185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2563396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2563462Z     return mod(**inputs)
2025-08-26T20:58:35.2563728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2563812Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2564080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2564153Z     outputs = block(
2025-08-26T20:58:35.2564377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2564464Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2564708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2564803Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2565055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2565160Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2565428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:58:35.2565513Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:58:35.2565755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2565877Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2565897Z 
2025-08-26T20:58:35.2566007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2566227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2566299Z     return mod(**inputs)
2025-08-26T20:58:35.2566571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2566656Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2566920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2566996Z     outputs = block(
2025-08-26T20:58:35.2567232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2567323Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2567581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2567663Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2567925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2568035Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2568304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:58:35.2568389Z     hidden_states = self.act(hidden_states)
2025-08-26T20:58:35.2568643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:58:35.2568830Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:58:35.2568834Z 
2025-08-26T20:58:35.2568937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2569159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2569225Z     return mod(**inputs)
2025-08-26T20:58:35.2569491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:58:35.2569576Z     transformer_outputs = self.transformer(
2025-08-26T20:58:35.2569839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:58:35.2569905Z     outputs = block(
2025-08-26T20:58:35.2570141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:58:35.2570248Z     return super().__call__(*args, **kwargs)
2025-08-26T20:58:35.2570505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:58:35.2570584Z     return func(*args, **kwargs)
2025-08-26T20:58:35.2570847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:58:35.2570954Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:58:35.2571237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:58:35.2571328Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:58:35.2571564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:58:35.2571698Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:58:35.2571701Z 
2025-08-26T20:58:35.2571813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.2572015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:58:35.2572081Z     return mod(**inputs)
2025-08-26T20:58:35.2572346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1207, in forward
2025-08-26T20:58:35.2572481Z     logits = self.lm_head(hidden_states[:, slice_indices, :])
2025-08-26T20:58:35.2572487Z 
2025-08-26T20:58:44.9179637Z Compilation time (from dynamo_timed): 26.104343288
2025-08-26T20:58:44.9255839Z pass
2025-08-26T20:58:44.9256311Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:44.9257296Z TIMING: _recursive_pre_grad_passes:0.01021 _recursive_joint_graph_passes:0.45423 _recursive_post_grad_passes:0.11201 async_compile.wait:0.71377 code_gen:9.12175 inductor_compile:12.65541 backend_compile:21.43492 gc:0.00073 entire_frame_compile:26.10434 total_wall_time:26.10434
2025-08-26T20:58:44.9258410Z STATS: call_* op count: 608 | FakeTensorMode.__torch_dispatch__:11549 | FakeTensor.__torch_dispatch__:4154 | attempt fast:48 | fast is_contiguous:48 | ProxyTorchDispatchMode.__torch_dispatch__:4097
2025-08-26T20:58:44.9259024Z Dynamo produced 1 graphs covering 608 ops with 0 graph breaks (0 unique)
2025-08-26T20:58:49.9792775Z 
2025-08-26T20:58:50.6710335Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:58:50.6710578Z 
2025-08-26T20:58:50.6750393Z config.json:   0% 0.00/666 [00:00<?, ?B/s]
2025-08-26T20:58:50.6750867Z config.json: 100% 666/666 [00:00<00:00, 147kB/s]
2025-08-26T20:59:06.9804900Z 
2025-08-26T20:59:06.9805707Z loading model: 0it [00:17, ?it/s]
2025-08-26T20:59:06.9844895Z cpu  eval  hf_GPT2_large                      
2025-08-26T20:59:07.0911331Z Compilation time (from dynamo_timed): 0
2025-08-26T20:59:07.0911968Z pass_due_to_skip
2025-08-26T20:59:07.0914977Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:07.0915349Z TIMING: total_wall_time:0
2025-08-26T20:59:07.0915563Z STATS: call_* op count: 0
2025-08-26T20:59:07.0915830Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-26T20:59:10.9801498Z 
2025-08-26T20:59:11.6474024Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:59:11.6474347Z 
2025-08-26T20:59:11.6522381Z config.json:   0% 0.00/694 [00:00<?, ?B/s]
2025-08-26T20:59:11.6522845Z config.json: 100% 694/694 [00:00<00:00, 154kB/s]
2025-08-26T20:59:15.1950143Z 
2025-08-26T20:59:15.1951073Z loading model: 0it [00:04, ?it/s]
2025-08-26T20:59:15.1976138Z cpu  eval  hf_Longformer                      
2025-08-26T20:59:18.6341575Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:19.7363196Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:20.8299906Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:22.4345064Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-26T20:59:22.4346860Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-26T20:59:22.4347482Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-26T20:59:22.4348406Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-26T20:59:22.4349044Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-26T20:59:22.4349562Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:59:22.4350061Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-26T20:59:22.4350807Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:22.4351595Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(**inputs)
2025-08-26T20:59:22.4352417Z W0826 20:59:22.433137 23862 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
2025-08-26T20:59:22.4353644Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.longformer(
2025-08-26T20:59:22.4354424Z W0826 20:59:22.433137 23862 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
2025-08-26T20:59:22.4355206Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     encoder_outputs = self.encoder(
2025-08-26T20:59:22.4355984Z W0826 20:59:22.433137 23862 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
2025-08-26T20:59:22.4356835Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     is_global_attn = is_index_global_attn.flatten().any().item()
2025-08-26T20:59:22.4357374Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:59:22.4357849Z W0826 20:59:22.433137 23862 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:59:30.7613192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:30.7613898Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:59:30.7614405Z     embedding_output = self.embeddings(
2025-08-26T20:59:30.7615226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:59:30.7615854Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:59:30.7616559Z   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
2025-08-26T20:59:30.7617106Z     mask = input_ids.ne(padding_idx).int()
2025-08-26T20:59:30.7617267Z 
2025-08-26T20:59:30.7617407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:30.7617873Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1592, in forward
2025-08-26T20:59:30.7618761Z     extended_attention_mask: torch.Tensor = self.get_extended_attention_mask(attention_mask, input_shape)[
2025-08-26T20:59:30.7619330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_utils.py", line 1763, in get_extended_attention_mask
2025-08-26T20:59:30.7619862Z     extended_attention_mask = (1.0 - extended_attention_mask) * torch.finfo(dtype).min
2025-08-26T20:59:30.7620098Z 
2025-08-26T20:59:30.7620213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:30.7620725Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:59:30.7621141Z     embedding_output = self.embeddings(
2025-08-26T20:59:30.7621563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:59:30.7622091Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:59:30.7622688Z   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
2025-08-26T20:59:30.7623334Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-26T20:59:30.7623544Z 
2025-08-26T20:59:30.7623671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:30.7624150Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:59:30.7624594Z     embedding_output = self.embeddings(
2025-08-26T20:59:30.7625043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:59:30.7625608Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:59:30.7626241Z   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
2025-08-26T20:59:30.7626795Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-26T20:59:30.7627004Z 
2025-08-26T21:02:33.2678435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2682937Z    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
2025-08-26T21:02:33.2684997Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2685958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2686424Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2690809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2693286Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2693810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2694287Z     self_outputs = self.self(
2025-08-26T21:02:33.2694750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.2695328Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.2695503Z 
2025-08-26T21:02:33.2695637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2696198Z    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
2025-08-26T21:02:33.2696734Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2697120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2697631Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2698183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2698659Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2699125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2699679Z     self_outputs = self.self(
2025-08-26T21:02:33.2700122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2700606Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2701154Z   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
2025-08-26T21:02:33.2701801Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.2702138Z 
2025-08-26T21:02:33.2702257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2702822Z    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
2025-08-26T21:02:33.2703464Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2703855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2704266Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2704744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2705229Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2705707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2706167Z     self_outputs = self.self(
2025-08-26T21:02:33.2706627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.2707107Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.2707257Z 
2025-08-26T21:02:33.2707379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2707951Z    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
2025-08-26T21:02:33.2708499Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2708884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2709322Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2709780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2710234Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2710690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2711142Z     self_outputs = self.self(
2025-08-26T21:02:33.2711570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2712061Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2712815Z   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
2025-08-26T21:02:33.2713451Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.2714023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.2714720Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.2714863Z 
2025-08-26T21:02:33.2714980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2715608Z    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
2025-08-26T21:02:33.2716141Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2716567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2716969Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2717414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2717864Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2718313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2718762Z     self_outputs = self.self(
2025-08-26T21:02:33.2719180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2719659Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2720176Z   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
2025-08-26T21:02:33.2720787Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.2721045Z 
2025-08-26T21:02:33.2721132Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2721356Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2721566Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2721779Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2722025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2722571Z    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
2025-08-26T21:02:33.2723090Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2723452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2723836Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2724271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2724705Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2725170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2725600Z     self_outputs = self.self(
2025-08-26T21:02:33.2726014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.2726485Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2727030Z   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
2025-08-26T21:02:33.2727599Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.2728149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.2728709Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.2728934Z 
2025-08-26T21:02:33.2729020Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2729270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2729843Z    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
2025-08-26T21:02:33.2730371Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2730753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2731151Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2731621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2732058Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2732505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2732942Z     self_outputs = self.self(
2025-08-26T21:02:33.2733373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.2733812Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.2733943Z 
2025-08-26T21:02:33.2734055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2734639Z    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
2025-08-26T21:02:33.2735167Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2735539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2735932Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2736380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2736842Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2737291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2737734Z     self_outputs = self.self(
2025-08-26T21:02:33.2738159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.2738614Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.2738764Z 
2025-08-26T21:02:33.2738875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2739438Z    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
2025-08-26T21:02:33.2739964Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2740378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2740767Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2741217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2741661Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2742101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2742541Z     self_outputs = self.self(
2025-08-26T21:02:33.2742969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.2743427Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.2743577Z 
2025-08-26T21:02:33.2743695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2744247Z    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
2025-08-26T21:02:33.2744807Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2745185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2745573Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2746026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2746478Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2746938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2747388Z     self_outputs = self.self(
2025-08-26T21:02:33.2747819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2748325Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2748897Z   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
2025-08-26T21:02:33.2749529Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.2750013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.2750396Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.2750565Z 
2025-08-26T21:02:33.2750685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2751237Z    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
2025-08-26T21:02:33.2751750Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2752127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2752517Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2753136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2753642Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2754108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2754559Z     self_outputs = self.self(
2025-08-26T21:02:33.2755003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2755489Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2756075Z   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
2025-08-26T21:02:33.2756665Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.2757221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.2757729Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.2758110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.2758473Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.2758640Z 
2025-08-26T21:02:33.2758753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2759296Z    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
2025-08-26T21:02:33.2759817Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2760196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2760600Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2761080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2761526Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2761974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2762420Z     self_outputs = self.self(
2025-08-26T21:02:33.2762826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2763303Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2763851Z   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
2025-08-26T21:02:33.2764440Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.2764656Z 
2025-08-26T21:02:33.2764771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2765320Z    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
2025-08-26T21:02:33.2765847Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2766208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2766591Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2767053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2767493Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2767938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2768363Z     self_outputs = self.self(
2025-08-26T21:02:33.2768780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2769274Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2769846Z   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
2025-08-26T21:02:33.2770434Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.2770649Z 
2025-08-26T21:02:33.2770760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2771329Z    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
2025-08-26T21:02:33.2771855Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2772234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2772626Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2773064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2773512Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2773958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.2774440Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.2774926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.2775385Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2775541Z 
2025-08-26T21:02:33.2775670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2776219Z    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
2025-08-26T21:02:33.2776747Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2777115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2777528Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2777989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2778459Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2778924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.2779411Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.2779916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.2780377Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2780548Z 
2025-08-26T21:02:33.2780667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2781227Z    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
2025-08-26T21:02:33.2781750Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2782131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2782525Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2782982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.2783444Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.2783878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.2784309Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.2784763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.2785270Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.2785772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.2786234Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2786387Z 
2025-08-26T21:02:33.2786521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2787078Z    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
2025-08-26T21:02:33.2787592Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2787956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2788335Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2788794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.2789252Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.2789687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.2790104Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.2790557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.2791068Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.2791556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.2792047Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.2792453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.2792947Z     return self.act(input)
2025-08-26T21:02:33.2793111Z 
2025-08-26T21:02:33.2793226Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2793784Z    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
2025-08-26T21:02:33.2794323Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2794690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2795067Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2795503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.2795948Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.2796404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.2796805Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.2797243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.2797729Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.2798210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.2798642Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2798791Z 
2025-08-26T21:02:33.2798901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2799441Z    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
2025-08-26T21:02:33.2799945Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2800306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2800678Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2801123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2801557Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2802023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2802458Z     self_outputs = self.self(
2025-08-26T21:02:33.2802874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.2803317Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.2803472Z 
2025-08-26T21:02:33.2803581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2804121Z    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
2025-08-26T21:02:33.2804629Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2804988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2805365Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2805808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2806251Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2806680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2807115Z     self_outputs = self.self(
2025-08-26T21:02:33.2807530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2807993Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2808533Z   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
2025-08-26T21:02:33.2809141Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.2809402Z 
2025-08-26T21:02:33.2809509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2810056Z    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
2025-08-26T21:02:33.2810562Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2810925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2811325Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2811757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2812202Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2812613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2813021Z     self_outputs = self.self(
2025-08-26T21:02:33.2813409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.2813829Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.2813968Z 
2025-08-26T21:02:33.2814070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2814762Z    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
2025-08-26T21:02:33.2815343Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2815724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2816090Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2816496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2817717Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2818139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2818544Z     self_outputs = self.self(
2025-08-26T21:02:33.2818935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2819381Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2819873Z   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
2025-08-26T21:02:33.2820453Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.2820967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.2821414Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.2821559Z 
2025-08-26T21:02:33.2821666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2822235Z    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
2025-08-26T21:02:33.2822744Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2823107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2823492Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2823954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2824406Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2824839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2825259Z     self_outputs = self.self(
2025-08-26T21:02:33.2825685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2826157Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2826675Z   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
2025-08-26T21:02:33.2827308Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.2827572Z 
2025-08-26T21:02:33.2827658Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2827881Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2828102Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2828315Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2828554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2829100Z    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
2025-08-26T21:02:33.2829603Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2829967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2830354Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2830792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2831241Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2831687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2832122Z     self_outputs = self.self(
2025-08-26T21:02:33.2832568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.2833147Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2833695Z   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
2025-08-26T21:02:33.2834291Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.2834878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.2835602Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.2835830Z 
2025-08-26T21:02:33.2835917Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2836169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2836720Z    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
2025-08-26T21:02:33.2837232Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2837616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2838005Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2838444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2838884Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2839341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2839762Z     self_outputs = self.self(
2025-08-26T21:02:33.2840194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.2840634Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.2840767Z 
2025-08-26T21:02:33.2840886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2841431Z    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
2025-08-26T21:02:33.2841932Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2842318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2842704Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2843140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2843575Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2844024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2844452Z     self_outputs = self.self(
2025-08-26T21:02:33.2844880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.2845317Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.2845455Z 
2025-08-26T21:02:33.2845563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2846101Z    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
2025-08-26T21:02:33.2846604Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2846970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2847357Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2847812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2848256Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2848700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2849127Z     self_outputs = self.self(
2025-08-26T21:02:33.2849550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.2849987Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.2850135Z 
2025-08-26T21:02:33.2850274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2850800Z    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
2025-08-26T21:02:33.2851304Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2851666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2852043Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2852491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2852918Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2853352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2853780Z     self_outputs = self.self(
2025-08-26T21:02:33.2854192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2854700Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2855245Z   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
2025-08-26T21:02:33.2855858Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.2856300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.2856670Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.2856830Z 
2025-08-26T21:02:33.2856967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2857495Z    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
2025-08-26T21:02:33.2858003Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2858362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2858741Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2859176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2859607Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2860045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2860473Z     self_outputs = self.self(
2025-08-26T21:02:33.2860890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2861368Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2861910Z   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
2025-08-26T21:02:33.2862487Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.2863022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.2863516Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.2863881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.2864253Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.2864423Z 
2025-08-26T21:02:33.2864533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2865077Z    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
2025-08-26T21:02:33.2865598Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2865958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2866336Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2866782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2867250Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2867689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2868122Z     self_outputs = self.self(
2025-08-26T21:02:33.2868541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2869033Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2869620Z   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
2025-08-26T21:02:33.2870227Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.2870448Z 
2025-08-26T21:02:33.2870561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2871112Z    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
2025-08-26T21:02:33.2871636Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2872006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2872420Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2872944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2873412Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2873865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2874312Z     self_outputs = self.self(
2025-08-26T21:02:33.2874748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2875237Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2875810Z   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
2025-08-26T21:02:33.2876424Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.2876649Z 
2025-08-26T21:02:33.2876774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2877343Z    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
2025-08-26T21:02:33.2877859Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2878265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2878658Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2879108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2879560Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2879999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.2880483Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.2880972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.2881436Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2881583Z 
2025-08-26T21:02:33.2881699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2882248Z    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
2025-08-26T21:02:33.2882777Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2883138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2883542Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2883973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2884432Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2884886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.2885375Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.2885864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.2886297Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2886451Z 
2025-08-26T21:02:33.2886560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2887115Z    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
2025-08-26T21:02:33.2887698Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2888065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2888441Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2888906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.2889366Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.2889798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.2890213Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.2890654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.2891139Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.2891616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.2892059Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2892210Z 
2025-08-26T21:02:33.2892323Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2892853Z    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
2025-08-26T21:02:33.2893390Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2893757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2894139Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2894580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.2895019Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.2895440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.2895853Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.2896290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.2896759Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.2897251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.2897723Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.2898149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.2898507Z     return self.act(input)
2025-08-26T21:02:33.2898625Z 
2025-08-26T21:02:33.2898736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2899275Z    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
2025-08-26T21:02:33.2899804Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2900168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2900544Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2900974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.2901421Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.2901838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.2902248Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.2902696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.2903194Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.2903695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.2904150Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2904296Z 
2025-08-26T21:02:33.2904416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2904968Z    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
2025-08-26T21:02:33.2905470Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2905843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2906230Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2906680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2907116Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2907570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2908016Z     self_outputs = self.self(
2025-08-26T21:02:33.2908466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.2908907Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.2909053Z 
2025-08-26T21:02:33.2909166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2909707Z    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
2025-08-26T21:02:33.2910221Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2910592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2910993Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2911446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2911913Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2912386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2912914Z     self_outputs = self.self(
2025-08-26T21:02:33.2913391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2913865Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2914576Z   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
2025-08-26T21:02:33.2915258Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.2915517Z 
2025-08-26T21:02:33.2915638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2916173Z    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
2025-08-26T21:02:33.2916672Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2917039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2917418Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2917852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2918303Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2918705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2919137Z     self_outputs = self.self(
2025-08-26T21:02:33.2919559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.2919994Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.2920138Z 
2025-08-26T21:02:33.2920253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2920784Z    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
2025-08-26T21:02:33.2921293Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2921655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2922036Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2922460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2922897Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2923329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2923788Z     self_outputs = self.self(
2025-08-26T21:02:33.2924203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2924633Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2925130Z   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
2025-08-26T21:02:33.2925681Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.2926168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.2926580Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.2926712Z 
2025-08-26T21:02:33.2926814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2927318Z    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
2025-08-26T21:02:33.2927793Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2928162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2928520Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2928931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2929368Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2929823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2930248Z     self_outputs = self.self(
2025-08-26T21:02:33.2930660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.2931117Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2931639Z   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
2025-08-26T21:02:33.2932267Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.2932507Z 
2025-08-26T21:02:33.2932617Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2932828Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2933032Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2933247Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2933933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2934446Z    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
2025-08-26T21:02:33.2934943Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2935318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2935705Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2936145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2936589Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2937021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2937458Z     self_outputs = self.self(
2025-08-26T21:02:33.2937876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.2938350Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.2938911Z   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
2025-08-26T21:02:33.2939476Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.2940028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.2940589Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.2940805Z 
2025-08-26T21:02:33.2940892Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.2941139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2941672Z    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
2025-08-26T21:02:33.2942175Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2942538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2942917Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2943378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2943806Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2944266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2944696Z     self_outputs = self.self(
2025-08-26T21:02:33.2945137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.2945589Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.2945725Z 
2025-08-26T21:02:33.2945831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2946378Z    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
2025-08-26T21:02:33.2946877Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2947240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2947612Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2948072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2948507Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2948948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2949388Z     self_outputs = self.self(
2025-08-26T21:02:33.2949806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.2950294Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.2950442Z 
2025-08-26T21:02:33.2950550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2951099Z    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
2025-08-26T21:02:33.2951620Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2951988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2952381Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2952933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2953409Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2953894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2954345Z     self_outputs = self.self(
2025-08-26T21:02:33.2954783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.2955206Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.2955343Z 
2025-08-26T21:02:33.2955455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2955964Z    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
2025-08-26T21:02:33.2956476Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2956840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2957216Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2957649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2958075Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2958535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2958961Z     self_outputs = self.self(
2025-08-26T21:02:33.2959372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2959854Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2960396Z   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
2025-08-26T21:02:33.2961023Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.2961469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.2961839Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.2962000Z 
2025-08-26T21:02:33.2962123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2962657Z    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
2025-08-26T21:02:33.2963191Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2963555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2963936Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2964380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2964822Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2965267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2965696Z     self_outputs = self.self(
2025-08-26T21:02:33.2966120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2966604Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2967159Z   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
2025-08-26T21:02:33.2967735Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.2968271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.2968769Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.2969165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.2969542Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.2969711Z 
2025-08-26T21:02:33.2969833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2970410Z    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
2025-08-26T21:02:33.2970918Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2971273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2971649Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2972077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2972507Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2972942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2973357Z     self_outputs = self.self(
2025-08-26T21:02:33.2973795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2974273Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2974832Z   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
2025-08-26T21:02:33.2975440Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.2975657Z 
2025-08-26T21:02:33.2975765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2976302Z    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
2025-08-26T21:02:33.2976807Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2977174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2977564Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2978007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2978470Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2978921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.2979365Z     self_outputs = self.self(
2025-08-26T21:02:33.2979795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.2980277Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.2980845Z   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
2025-08-26T21:02:33.2981446Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.2981667Z 
2025-08-26T21:02:33.2981785Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2982341Z    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
2025-08-26T21:02:33.2982853Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2983222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2983614Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2984088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2984537Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2984987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.2985473Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.2986033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.2986502Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2986650Z 
2025-08-26T21:02:33.2986772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2987346Z    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
2025-08-26T21:02:33.2987862Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2988236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2988622Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2989090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.2989539Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.2989993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.2990488Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.2990998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.2991443Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2991600Z 
2025-08-26T21:02:33.2991712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2992276Z    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
2025-08-26T21:02:33.2992880Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2993260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2993665Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2994113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.2994568Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.2995002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.2995424Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.2995863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.2996353Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.2996831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.2997287Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.2997437Z 
2025-08-26T21:02:33.2997554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.2998101Z    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
2025-08-26T21:02:33.2998605Z     layer_outputs = layer_module(
2025-08-26T21:02:33.2998965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.2999340Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.2999780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3000221Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3000636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3001043Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3001474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3001941Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3002399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3002870Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3003269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3003628Z     return self.act(input)
2025-08-26T21:02:33.3003745Z 
2025-08-26T21:02:33.3003873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3004406Z    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
2025-08-26T21:02:33.3004908Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3005276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3005673Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3006111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3006564Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3006982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3007391Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3007822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3008299Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3008814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3009266Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3009412Z 
2025-08-26T21:02:33.3009529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3010077Z    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
2025-08-26T21:02:33.3010589Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3010952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3011350Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3011782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3012210Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3012659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3013090Z     self_outputs = self.self(
2025-08-26T21:02:33.3013507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3013947Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3014089Z 
2025-08-26T21:02:33.3014219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3014977Z    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
2025-08-26T21:02:33.3015494Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3015864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3016246Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3016673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3017111Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3017545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3017976Z     self_outputs = self.self(
2025-08-26T21:02:33.3018402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3018860Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3019428Z   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
2025-08-26T21:02:33.3020045Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3020304Z 
2025-08-26T21:02:33.3020417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3020980Z    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
2025-08-26T21:02:33.3021473Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3021832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3022211Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3022644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3023081Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3023514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3023954Z     self_outputs = self.self(
2025-08-26T21:02:33.3024345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3024759Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3024892Z 
2025-08-26T21:02:33.3024993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3025499Z    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
2025-08-26T21:02:33.3025976Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3026321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3026676Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3027079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3027496Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3027929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3028357Z     self_outputs = self.self(
2025-08-26T21:02:33.3028771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3029263Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3029789Z   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
2025-08-26T21:02:33.3030371Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3030889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3031322Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3031459Z 
2025-08-26T21:02:33.3031568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3032126Z    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
2025-08-26T21:02:33.3032710Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3033095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3033479Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3033947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3034362Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3034774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3035175Z     self_outputs = self.self(
2025-08-26T21:02:33.3035561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3036016Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3036508Z   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
2025-08-26T21:02:33.3037081Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3037319Z 
2025-08-26T21:02:33.3037408Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3037614Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3037821Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3038025Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3038272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3038777Z    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
2025-08-26T21:02:33.3039271Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3039635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3040019Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3040452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3040894Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3041327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3041840Z     self_outputs = self.self(
2025-08-26T21:02:33.3042331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3042809Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3043343Z   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
2025-08-26T21:02:33.3043916Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3044482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3045039Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3045252Z 
2025-08-26T21:02:33.3045343Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3045591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3046131Z    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
2025-08-26T21:02:33.3046647Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3047020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3047404Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3047849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3048290Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3048761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3049204Z     self_outputs = self.self(
2025-08-26T21:02:33.3049623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3050050Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3050185Z 
2025-08-26T21:02:33.3050294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3050857Z    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
2025-08-26T21:02:33.3051373Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3051733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3052102Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3052538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3052946Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3053361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3053774Z     self_outputs = self.self(
2025-08-26T21:02:33.3054170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3054588Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3054726Z 
2025-08-26T21:02:33.3054843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3055389Z    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
2025-08-26T21:02:33.3055888Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3056250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3056608Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3057033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3057447Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3057853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3058253Z     self_outputs = self.self(
2025-08-26T21:02:33.3058644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3059080Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3059220Z 
2025-08-26T21:02:33.3059325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3059823Z    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
2025-08-26T21:02:33.3060297Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3060640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3061009Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3061442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3061867Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3062302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3062726Z     self_outputs = self.self(
2025-08-26T21:02:33.3063158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3063631Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3064190Z   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
2025-08-26T21:02:33.3064769Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3065213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3065558Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3065708Z 
2025-08-26T21:02:33.3065811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3066347Z    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
2025-08-26T21:02:33.3066852Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3067214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3067600Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3068063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3068512Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3068969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3069420Z     self_outputs = self.self(
2025-08-26T21:02:33.3069843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3070325Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3070896Z   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
2025-08-26T21:02:33.3071485Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3072032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3072536Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3072972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3073349Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3073520Z 
2025-08-26T21:02:33.3073632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3074220Z    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
2025-08-26T21:02:33.3074733Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3075094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3075475Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3075910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3076352Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3076799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3077234Z     self_outputs = self.self(
2025-08-26T21:02:33.3077662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3078139Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3078703Z   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
2025-08-26T21:02:33.3079295Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3079516Z 
2025-08-26T21:02:33.3079625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3080160Z    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
2025-08-26T21:02:33.3080689Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3081050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3081433Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3081860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3082292Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3082724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3083168Z     self_outputs = self.self(
2025-08-26T21:02:33.3083569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3084043Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3084581Z   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
2025-08-26T21:02:33.3085164Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3085378Z 
2025-08-26T21:02:33.3085488Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3085982Z    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
2025-08-26T21:02:33.3086457Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3086802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3087157Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3087566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3087987Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3088441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3088908Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3089377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3089818Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3089963Z 
2025-08-26T21:02:33.3090070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3090600Z    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
2025-08-26T21:02:33.3091112Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3091473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3091858Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3092293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3092723Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3093182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3093648Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3094091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3094504Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3094672Z 
2025-08-26T21:02:33.3094779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3095317Z    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
2025-08-26T21:02:33.3095830Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3096192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3096564Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3096985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3097431Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3097858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3098273Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3098726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3099212Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3099694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3100142Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3100285Z 
2025-08-26T21:02:33.3100394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3100939Z    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
2025-08-26T21:02:33.3101454Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3101833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3102230Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3102675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3103154Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3103602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3104018Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3104457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3104926Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3105396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3105874Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3106278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3106641Z     return self.act(input)
2025-08-26T21:02:33.3106761Z 
2025-08-26T21:02:33.3106871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3107410Z    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
2025-08-26T21:02:33.3107931Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3108293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3108665Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3109097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3109562Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3109985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3110409Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3110852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3111353Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3111858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3112316Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3112483Z 
2025-08-26T21:02:33.3112668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3113232Z    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
2025-08-26T21:02:33.3113757Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3114128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3114715Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3115174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3115608Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3116049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3116493Z     self_outputs = self.self(
2025-08-26T21:02:33.3116916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3117373Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3117519Z 
2025-08-26T21:02:33.3117635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3118142Z    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
2025-08-26T21:02:33.3118675Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3119020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3119376Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3119778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3120188Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3120596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3120996Z     self_outputs = self.self(
2025-08-26T21:02:33.3121382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3121847Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3122365Z   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
2025-08-26T21:02:33.3122997Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3123242Z 
2025-08-26T21:02:33.3123352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3123847Z    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
2025-08-26T21:02:33.3124319Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3124709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3125073Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3125471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3125869Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3126282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3126687Z     self_outputs = self.self(
2025-08-26T21:02:33.3127082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3127524Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3127657Z 
2025-08-26T21:02:33.3127759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3128261Z    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
2025-08-26T21:02:33.3128744Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3129108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3129486Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3129909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3130334Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3130740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3131140Z     self_outputs = self.self(
2025-08-26T21:02:33.3131527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3131960Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3132447Z   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
2025-08-26T21:02:33.3133012Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3133510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3133937Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3134074Z 
2025-08-26T21:02:33.3134182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3134718Z    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
2025-08-26T21:02:33.3135224Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3135589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3135959Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3136395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3136829Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3137295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3137720Z     self_outputs = self.self(
2025-08-26T21:02:33.3138121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3138581Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3139095Z   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
2025-08-26T21:02:33.3139720Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3139971Z 
2025-08-26T21:02:33.3140061Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3140278Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3140495Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3140707Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3140951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3141478Z    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
2025-08-26T21:02:33.3142002Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3142362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3142744Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3143179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3143608Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3144043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3144470Z     self_outputs = self.self(
2025-08-26T21:02:33.3144886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3145005Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3145372Z   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
2025-08-26T21:02:33.3145525Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3145866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3146030Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3146053Z 
2025-08-26T21:02:33.3146137Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3146255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3146630Z    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
2025-08-26T21:02:33.3146712Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3146952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3147047Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3147346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3147425Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3147721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3147795Z     self_outputs = self.self(
2025-08-26T21:02:33.3148099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3148183Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3148187Z 
2025-08-26T21:02:33.3148296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3148676Z    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
2025-08-26T21:02:33.3148772Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3149016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3149100Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3149403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3149493Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3149794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3149874Z     self_outputs = self.self(
2025-08-26T21:02:33.3150173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3150285Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3150288Z 
2025-08-26T21:02:33.3150398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3150783Z    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
2025-08-26T21:02:33.3150866Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3151114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3151205Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3151514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3151594Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3151908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3151983Z     self_outputs = self.self(
2025-08-26T21:02:33.3152295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3152389Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3152393Z 
2025-08-26T21:02:33.3152508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3152989Z    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
2025-08-26T21:02:33.3153072Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3153320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3153403Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3153722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3153802Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3154107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3154189Z     self_outputs = self.self(
2025-08-26T21:02:33.3154498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3154635Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3155037Z   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
2025-08-26T21:02:33.3155236Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3155448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3155555Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3155582Z 
2025-08-26T21:02:33.3155703Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3156079Z    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
2025-08-26T21:02:33.3156161Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3156401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3156490Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3156791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3156870Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3157199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3157273Z     self_outputs = self.self(
2025-08-26T21:02:33.3157579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3157704Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3158091Z   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
2025-08-26T21:02:33.3158246Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3158589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3158693Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3158902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3159014Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3159020Z 
2025-08-26T21:02:33.3159128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3159516Z    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
2025-08-26T21:02:33.3159598Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3159857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3159951Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3160255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3160338Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3160657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3160733Z     self_outputs = self.self(
2025-08-26T21:02:33.3161047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3161174Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3161573Z   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
2025-08-26T21:02:33.3161758Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3161763Z 
2025-08-26T21:02:33.3161872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3162264Z    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
2025-08-26T21:02:33.3162344Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3162598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3162714Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3163030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3163112Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3163423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3163504Z     self_outputs = self.self(
2025-08-26T21:02:33.3163802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3163953Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3164353Z   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
2025-08-26T21:02:33.3164519Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3164523Z 
2025-08-26T21:02:33.3164630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3165015Z    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
2025-08-26T21:02:33.3165096Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3165344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3165431Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3165738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3165816Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3166129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3166245Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3166581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3166671Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3166675Z 
2025-08-26T21:02:33.3166787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3167162Z    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
2025-08-26T21:02:33.3167247Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3167484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3167567Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3167870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3167947Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3168247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3168366Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3168681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3168775Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3168780Z 
2025-08-26T21:02:33.3168886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3169270Z    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
2025-08-26T21:02:33.3169388Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3169624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3169710Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3170010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3170105Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3170377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3170463Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3170780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3170897Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3171196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3171281Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3171284Z 
2025-08-26T21:02:33.3171397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3171759Z    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
2025-08-26T21:02:33.3171831Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3172063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3172144Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3172436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3172523Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3172800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3172879Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3173198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3173325Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3173613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3173730Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3173941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3174011Z     return self.act(input)
2025-08-26T21:02:33.3174024Z 
2025-08-26T21:02:33.3174124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3174464Z    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
2025-08-26T21:02:33.3174539Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3174753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3174849Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3175125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3175209Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3175487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3175564Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3175890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3176016Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3176325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3176408Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3176411Z 
2025-08-26T21:02:33.3176515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3176887Z    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
2025-08-26T21:02:33.3176976Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3177209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3177291Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3177580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3177666Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3177966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3178045Z     self_outputs = self.self(
2025-08-26T21:02:33.3178334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3178426Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3178431Z 
2025-08-26T21:02:33.3178534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3178913Z    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
2025-08-26T21:02:33.3178994Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3179219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3179306Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3179623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3179704Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3180002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3180073Z     self_outputs = self.self(
2025-08-26T21:02:33.3180371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3180478Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3180841Z   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
2025-08-26T21:02:33.3181034Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3181039Z 
2025-08-26T21:02:33.3181145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3181546Z    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
2025-08-26T21:02:33.3181621Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3181854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3181935Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3182230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3182328Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3182618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3182701Z     self_outputs = self.self(
2025-08-26T21:02:33.3182991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3183078Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3183082Z 
2025-08-26T21:02:33.3183186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3183548Z    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
2025-08-26T21:02:33.3183645Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3183884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3183969Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3184242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3184321Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3184593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3184660Z     self_outputs = self.self(
2025-08-26T21:02:33.3184943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3185046Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3185381Z   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
2025-08-26T21:02:33.3185533Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3185821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3185917Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3185921Z 
2025-08-26T21:02:33.3186027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3186399Z    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
2025-08-26T21:02:33.3186471Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3186707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3186786Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3187079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3187164Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3187453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3187529Z     self_outputs = self.self(
2025-08-26T21:02:33.3187838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3187949Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3188301Z   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
2025-08-26T21:02:33.3188494Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3188515Z 
2025-08-26T21:02:33.3188608Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3188689Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3188776Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3188853Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3188957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3189330Z    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
2025-08-26T21:02:33.3189401Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3189636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3189744Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3190035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3190121Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3190410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3190489Z     self_outputs = self.self(
2025-08-26T21:02:33.3190779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3190902Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3191265Z   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
2025-08-26T21:02:33.3191417Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3191773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3191934Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3191938Z 
2025-08-26T21:02:33.3192026Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3192134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3192533Z    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
2025-08-26T21:02:33.3192685Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3192936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3193027Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3193328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3193416Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3193717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3193790Z     self_outputs = self.self(
2025-08-26T21:02:33.3194102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3194180Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3194184Z 
2025-08-26T21:02:33.3194297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3194680Z    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
2025-08-26T21:02:33.3194766Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3194997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3195077Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3195396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3195473Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3195772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3195843Z     self_outputs = self.self(
2025-08-26T21:02:33.3196133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3196223Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3196227Z 
2025-08-26T21:02:33.3196331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3196727Z    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
2025-08-26T21:02:33.3196801Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3197038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3197117Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3197419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3197505Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3197799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3197876Z     self_outputs = self.self(
2025-08-26T21:02:33.3198169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3198257Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3198268Z 
2025-08-26T21:02:33.3198377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3198744Z    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
2025-08-26T21:02:33.3198823Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3199069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3199159Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3199449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3199524Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3199825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3199897Z     self_outputs = self.self(
2025-08-26T21:02:33.3200193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3200317Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3200690Z   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
2025-08-26T21:02:33.3200870Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3201090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3201202Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3201206Z 
2025-08-26T21:02:33.3201312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3201680Z    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
2025-08-26T21:02:33.3201771Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3202000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3202087Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3202377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3202459Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3202747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3202825Z     self_outputs = self.self(
2025-08-26T21:02:33.3203141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3203262Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3203639Z   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
2025-08-26T21:02:33.3203784Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3204118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3204214Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3204419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3204519Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3204525Z 
2025-08-26T21:02:33.3204629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3204997Z    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
2025-08-26T21:02:33.3205069Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3205307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3205386Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3205688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3205776Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3206070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3206152Z     self_outputs = self.self(
2025-08-26T21:02:33.3206451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3206582Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3206952Z   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
2025-08-26T21:02:33.3207115Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3207119Z 
2025-08-26T21:02:33.3207237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3207622Z    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
2025-08-26T21:02:33.3207704Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3207938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3208027Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3208319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3208412Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3208708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3208776Z     self_outputs = self.self(
2025-08-26T21:02:33.3209072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3209191Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3209560Z   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
2025-08-26T21:02:33.3209741Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3209745Z 
2025-08-26T21:02:33.3209851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3210232Z    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
2025-08-26T21:02:33.3210304Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3210543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3210622Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3210914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3210999Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3211288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3211412Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3211702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3211794Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3211798Z 
2025-08-26T21:02:33.3211903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3212293Z    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
2025-08-26T21:02:33.3212374Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3212606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3212692Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3212986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3213059Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3213346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3213454Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3213741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3213822Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3213825Z 
2025-08-26T21:02:33.3213947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3214292Z    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
2025-08-26T21:02:33.3214362Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3214780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3214922Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3215203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3215286Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3215543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3215628Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3216045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3216165Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3216470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3216558Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3216563Z 
2025-08-26T21:02:33.3216664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3217009Z    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
2025-08-26T21:02:33.3217092Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3217323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3217414Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3217706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3217801Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3218072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3218154Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3218457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3218571Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3218909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3219027Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3219254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3219333Z     return self.act(input)
2025-08-26T21:02:33.3219337Z 
2025-08-26T21:02:33.3219443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3219828Z    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
2025-08-26T21:02:33.3219902Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3220139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3220218Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3220520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3220635Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3220908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3220988Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3221265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3221383Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3221696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3221784Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3221788Z 
2025-08-26T21:02:33.3221900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3222275Z    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
2025-08-26T21:02:33.3222353Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3222585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3222683Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3222979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3223059Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3223352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3223423Z     self_outputs = self.self(
2025-08-26T21:02:33.3223710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3223800Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3223806Z 
2025-08-26T21:02:33.3223908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3224275Z    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
2025-08-26T21:02:33.3224349Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3224583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3224663Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3224948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3225032Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3225335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3225416Z     self_outputs = self.self(
2025-08-26T21:02:33.3225704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3225823Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3226161Z   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
2025-08-26T21:02:33.3226343Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3226347Z 
2025-08-26T21:02:33.3226453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3226799Z    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
2025-08-26T21:02:33.3226873Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3227105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3227187Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3227473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3227553Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3227849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3227938Z     self_outputs = self.self(
2025-08-26T21:02:33.3228239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3228321Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3228326Z 
2025-08-26T21:02:33.3228428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3228802Z    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
2025-08-26T21:02:33.3228875Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3229114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3229213Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3229510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3229590Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3229881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3229960Z     self_outputs = self.self(
2025-08-26T21:02:33.3230251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3230366Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3230722Z   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
2025-08-26T21:02:33.3230886Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3231194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3231278Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3231282Z 
2025-08-26T21:02:33.3231399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3231796Z    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
2025-08-26T21:02:33.3231880Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3232123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3232205Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3232524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3232656Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3232979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3233054Z     self_outputs = self.self(
2025-08-26T21:02:33.3233350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3233467Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3233859Z   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
2025-08-26T21:02:33.3234063Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3234067Z 
2025-08-26T21:02:33.3234153Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3234243Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3234323Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3234421Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3234537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3234910Z    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
2025-08-26T21:02:33.3234991Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3235222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3235306Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3235614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3235710Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3236004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3236078Z     self_outputs = self.self(
2025-08-26T21:02:33.3236371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3236485Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3236846Z   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
2025-08-26T21:02:33.3237006Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3237340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3237504Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3237508Z 
2025-08-26T21:02:33.3237588Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3237698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3238061Z    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
2025-08-26T21:02:33.3238133Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3238392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3238472Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3238770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3238847Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3239134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3239217Z     self_outputs = self.self(
2025-08-26T21:02:33.3239502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3239586Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3239590Z 
2025-08-26T21:02:33.3239695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3240076Z    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
2025-08-26T21:02:33.3240149Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3240420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3240510Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3240801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3240884Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3241196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3241266Z     self_outputs = self.self(
2025-08-26T21:02:33.3241564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3241647Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3241651Z 
2025-08-26T21:02:33.3241761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3242142Z    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
2025-08-26T21:02:33.3242218Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3242465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3242544Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3242845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3242919Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3243229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3243299Z     self_outputs = self.self(
2025-08-26T21:02:33.3243603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3243696Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3243700Z 
2025-08-26T21:02:33.3243805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3244195Z    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
2025-08-26T21:02:33.3244267Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3244511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3244589Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3244907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3244995Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3245295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3245370Z     self_outputs = self.self(
2025-08-26T21:02:33.3245668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3245790Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3246170Z   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
2025-08-26T21:02:33.3246350Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3246559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3246661Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3246665Z 
2025-08-26T21:02:33.3246794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3247170Z    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
2025-08-26T21:02:33.3247243Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3247485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3247585Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3247888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3247965Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3248316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3248383Z     self_outputs = self.self(
2025-08-26T21:02:33.3248659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3248781Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3249168Z   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
2025-08-26T21:02:33.3249316Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3249658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3249748Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3249947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3250043Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3250046Z 
2025-08-26T21:02:33.3250155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3250503Z    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
2025-08-26T21:02:33.3250580Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3250801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3250885Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3251196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3251273Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3251599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3251674Z     self_outputs = self.self(
2025-08-26T21:02:33.3251991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3252112Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3252500Z   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
2025-08-26T21:02:33.3252673Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3252677Z 
2025-08-26T21:02:33.3252785Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3253173Z    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
2025-08-26T21:02:33.3253245Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3253499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3253582Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3253862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3253945Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3254216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3254308Z     self_outputs = self.self(
2025-08-26T21:02:33.3254577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3254690Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3255077Z   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
2025-08-26T21:02:33.3255230Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3255234Z 
2025-08-26T21:02:33.3255346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3255743Z    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
2025-08-26T21:02:33.3255824Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3256056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3256136Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3256438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3256515Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3256813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3256927Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3257218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3257317Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3257320Z 
2025-08-26T21:02:33.3257426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3257796Z    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
2025-08-26T21:02:33.3257868Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3258119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3258202Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3258494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3258579Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3258870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3258990Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3259281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3259372Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3259376Z 
2025-08-26T21:02:33.3259479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3259872Z    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
2025-08-26T21:02:33.3259952Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3260181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3260270Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3260559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3260662Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3260946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3261025Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3261331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3261449Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3261757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3261841Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3261862Z 
2025-08-26T21:02:33.3261966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3262346Z    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
2025-08-26T21:02:33.3262419Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3262652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3262730Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3263031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3263124Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3263396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3263479Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3263783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3263900Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3264174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3264284Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3264528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3264598Z     return self.act(input)
2025-08-26T21:02:33.3264602Z 
2025-08-26T21:02:33.3264709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3265050Z    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
2025-08-26T21:02:33.3265126Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3265340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3265417Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3265698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3265779Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3266043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3266122Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3266433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3266569Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3266863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3266955Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3266980Z 
2025-08-26T21:02:33.3267085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3267456Z    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
2025-08-26T21:02:33.3267529Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3267758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3267846Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3268137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3268241Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3268530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3268602Z     self_outputs = self.self(
2025-08-26T21:02:33.3268896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3268978Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3268982Z 
2025-08-26T21:02:33.3269095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3269456Z    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
2025-08-26T21:02:33.3269536Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3269764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3269851Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3270154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3270236Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3270540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3270611Z     self_outputs = self.self(
2025-08-26T21:02:33.3270922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3271041Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3271407Z   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
2025-08-26T21:02:33.3271611Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3271617Z 
2025-08-26T21:02:33.3271723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3272104Z    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
2025-08-26T21:02:33.3272177Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3272411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3272503Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3273111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3273207Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3273504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3273592Z     self_outputs = self.self(
2025-08-26T21:02:33.3273888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3273993Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3273997Z 
2025-08-26T21:02:33.3274114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3274502Z    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
2025-08-26T21:02:33.3274583Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3274812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3274892Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3275203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3275297Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3275600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3275672Z     self_outputs = self.self(
2025-08-26T21:02:33.3275972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3276079Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3276444Z   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
2025-08-26T21:02:33.3276615Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3276927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3277013Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3277016Z 
2025-08-26T21:02:33.3277121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3277503Z    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
2025-08-26T21:02:33.3277574Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3277822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3277912Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3278201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3278282Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3278568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3278640Z     self_outputs = self.self(
2025-08-26T21:02:33.3278936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3279040Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3279397Z   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
2025-08-26T21:02:33.3279588Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3279592Z 
2025-08-26T21:02:33.3279698Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3279782Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3279858Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3279942Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3280047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3280434Z    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
2025-08-26T21:02:33.3280524Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3280757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3280844Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3281138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3281224Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3281515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3281593Z     self_outputs = self.self(
2025-08-26T21:02:33.3281905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3282020Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3282378Z   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
2025-08-26T21:02:33.3282527Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3282878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3283034Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3283038Z 
2025-08-26T21:02:33.3283120Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3283233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3283600Z    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
2025-08-26T21:02:33.3283682Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3283911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3283997Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3284311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3284387Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3284676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3284744Z     self_outputs = self.self(
2025-08-26T21:02:33.3285030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3285103Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3285107Z 
2025-08-26T21:02:33.3285205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3285555Z    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
2025-08-26T21:02:33.3285622Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3285849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3285924Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3286221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3286297Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3286569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3286644Z     self_outputs = self.self(
2025-08-26T21:02:33.3286916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3287021Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3287025Z 
2025-08-26T21:02:33.3287123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3287473Z    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
2025-08-26T21:02:33.3287540Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3287754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3287837Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3288139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3288221Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3288507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3288581Z     self_outputs = self.self(
2025-08-26T21:02:33.3288881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3288975Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3288979Z 
2025-08-26T21:02:33.3289094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3289463Z    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
2025-08-26T21:02:33.3289545Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3289780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3289863Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3290167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3290247Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3290564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3290639Z     self_outputs = self.self(
2025-08-26T21:02:33.3290934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3291065Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3291427Z   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
2025-08-26T21:02:33.3291616Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3291823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3291935Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3291939Z 
2025-08-26T21:02:33.3292042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3292406Z    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
2025-08-26T21:02:33.3292506Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3292736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3292824Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3293115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3293216Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3293505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3293576Z     self_outputs = self.self(
2025-08-26T21:02:33.3293875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3293995Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3294368Z   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
2025-08-26T21:02:33.3294509Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3294851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3294954Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3295152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3295261Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3295264Z 
2025-08-26T21:02:33.3295368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3295752Z    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
2025-08-26T21:02:33.3295825Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3296053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3296141Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3296430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3296517Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3296804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3296873Z     self_outputs = self.self(
2025-08-26T21:02:33.3297198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3297319Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3297696Z   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
2025-08-26T21:02:33.3297853Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3297859Z 
2025-08-26T21:02:33.3297969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3298343Z    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
2025-08-26T21:02:33.3298417Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3298654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3298735Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3299050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3299130Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3299430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3299504Z     self_outputs = self.self(
2025-08-26T21:02:33.3299797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3299943Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3300317Z   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
2025-08-26T21:02:33.3300481Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3300485Z 
2025-08-26T21:02:33.3300591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3300976Z    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
2025-08-26T21:02:33.3301049Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3301297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3301386Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3301677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3301760Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3302062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3302176Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3302475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3302562Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3302566Z 
2025-08-26T21:02:33.3302676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3303040Z    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
2025-08-26T21:02:33.3303121Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3303348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3303427Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3303745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3303823Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3304125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3304237Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3304527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3304633Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3304638Z 
2025-08-26T21:02:33.3304742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3305116Z    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
2025-08-26T21:02:33.3305186Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3305424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3305520Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3305809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3305907Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3306177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3306284Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3306573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3306694Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3306983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3307066Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3307070Z 
2025-08-26T21:02:33.3307183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3307542Z    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
2025-08-26T21:02:33.3307640Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3307868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3307949Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3308246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3308331Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3308611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3308693Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3308996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3309108Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3309407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3309532Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3309760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3309840Z     return self.act(input)
2025-08-26T21:02:33.3309844Z 
2025-08-26T21:02:33.3309949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3310329Z    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
2025-08-26T21:02:33.3310414Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3310639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3310727Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3311017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3311111Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3311387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3311465Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3311777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3311905Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3312226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3312313Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3312319Z 
2025-08-26T21:02:33.3312432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3312884Z    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
2025-08-26T21:02:33.3313002Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3313253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3313337Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3313665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3313746Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3314041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3314120Z     self_outputs = self.self(
2025-08-26T21:02:33.3314574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3314676Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3314684Z 
2025-08-26T21:02:33.3314789Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3315171Z    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
2025-08-26T21:02:33.3315246Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3315476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3315567Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3315866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3315954Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3316254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3316329Z     self_outputs = self.self(
2025-08-26T21:02:33.3316638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3316743Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3317164Z   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
2025-08-26T21:02:33.3317360Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3317364Z 
2025-08-26T21:02:33.3317477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3317840Z    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
2025-08-26T21:02:33.3317913Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3318155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3318233Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3318516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3318592Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3318915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3318990Z     self_outputs = self.self(
2025-08-26T21:02:33.3319293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3319381Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3319385Z 
2025-08-26T21:02:33.3319483Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3319859Z    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
2025-08-26T21:02:33.3319929Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3320156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3320246Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3320539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3320625Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3320914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3321020Z     self_outputs = self.self(
2025-08-26T21:02:33.3321305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3321411Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3321784Z   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
2025-08-26T21:02:33.3321938Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3322219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3322294Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3322298Z 
2025-08-26T21:02:33.3322408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3322771Z    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
2025-08-26T21:02:33.3322842Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3323077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3323156Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3323468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3323547Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3323837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3323915Z     self_outputs = self.self(
2025-08-26T21:02:33.3324201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3324314Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3324662Z   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
2025-08-26T21:02:33.3324863Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3324867Z 
2025-08-26T21:02:33.3324950Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3325031Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3325118Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3325196Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3325324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3325686Z    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
2025-08-26T21:02:33.3325762Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3326000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3326100Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3326398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3326475Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3326766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3326843Z     self_outputs = self.self(
2025-08-26T21:02:33.3327133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3327254Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3327623Z   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
2025-08-26T21:02:33.3327779Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3328113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3328259Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3328270Z 
2025-08-26T21:02:33.3328346Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3328444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3328807Z    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
2025-08-26T21:02:33.3328879Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3329115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3329195Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3329485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3329567Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3329870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3329950Z     self_outputs = self.self(
2025-08-26T21:02:33.3330239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3330312Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3330315Z 
2025-08-26T21:02:33.3330426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3330790Z    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
2025-08-26T21:02:33.3330872Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3331099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3331185Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3331475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3331551Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3331862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3331934Z     self_outputs = self.self(
2025-08-26T21:02:33.3332231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3332315Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3332319Z 
2025-08-26T21:02:33.3332421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3332806Z    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
2025-08-26T21:02:33.3332877Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3333111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3333191Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3333489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3333567Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3333855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3333952Z     self_outputs = self.self(
2025-08-26T21:02:33.3334238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3334336Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3334340Z 
2025-08-26T21:02:33.3334443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3334811Z    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
2025-08-26T21:02:33.3334885Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3335113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3335202Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3335491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3335575Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3335869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3335940Z     self_outputs = self.self(
2025-08-26T21:02:33.3336235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3336377Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3336757Z   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
2025-08-26T21:02:33.3336936Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3337147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3337251Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3337257Z 
2025-08-26T21:02:33.3337361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3337739Z    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
2025-08-26T21:02:33.3337810Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3338051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3338157Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3338450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3338536Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3338829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3338907Z     self_outputs = self.self(
2025-08-26T21:02:33.3339216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3339345Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3339720Z   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
2025-08-26T21:02:33.3339866Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3340210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3340311Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3340537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3340637Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3340643Z 
2025-08-26T21:02:33.3340754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3341148Z    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
2025-08-26T21:02:33.3341220Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3341458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3341540Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3341836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3341916Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3342202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3342281Z     self_outputs = self.self(
2025-08-26T21:02:33.3342567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3342694Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3343112Z   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
2025-08-26T21:02:33.3343284Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3343288Z 
2025-08-26T21:02:33.3343392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3343752Z    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
2025-08-26T21:02:33.3343834Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3344060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3344149Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3344437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3344522Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3344829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3344903Z     self_outputs = self.self(
2025-08-26T21:02:33.3345196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3345316Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3345711Z   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
2025-08-26T21:02:33.3345885Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3345888Z 
2025-08-26T21:02:33.3345992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3346385Z    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
2025-08-26T21:02:33.3346457Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3346691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3346770Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3347081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3347157Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3347447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3347568Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3347883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3347975Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3347979Z 
2025-08-26T21:02:33.3348084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3348476Z    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
2025-08-26T21:02:33.3348549Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3348778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3348872Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3349180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3349267Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3349589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3349708Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3350027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3350115Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3350120Z 
2025-08-26T21:02:33.3350235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3350618Z    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
2025-08-26T21:02:33.3350701Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3350943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3351024Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3351343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3351447Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3351736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3351817Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3352129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3352253Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3352576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3352743Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3352747Z 
2025-08-26T21:02:33.3352861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3353268Z    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
2025-08-26T21:02:33.3353342Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3353588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3353704Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3354013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3354113Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3354389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3354479Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3354794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3354912Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3355217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3355339Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3355577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3355652Z     return self.act(input)
2025-08-26T21:02:33.3355658Z 
2025-08-26T21:02:33.3355765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3356159Z    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
2025-08-26T21:02:33.3356234Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3356561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3356647Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3356963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3357050Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3357329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3357416Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3357734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3357870Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3358178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3358264Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3358275Z 
2025-08-26T21:02:33.3358398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3358772Z    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
2025-08-26T21:02:33.3358859Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3359095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3359205Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3359507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3359588Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3359911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3359984Z     self_outputs = self.self(
2025-08-26T21:02:33.3360294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3360380Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3360402Z 
2025-08-26T21:02:33.3360521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3360906Z    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
2025-08-26T21:02:33.3360982Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3361227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3361308Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3361615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3361696Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3361996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3362077Z     self_outputs = self.self(
2025-08-26T21:02:33.3362379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3362495Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3362859Z   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
2025-08-26T21:02:33.3363063Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3363100Z 
2025-08-26T21:02:33.3363210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3363595Z    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
2025-08-26T21:02:33.3363676Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3363915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3364004Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3364304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3364385Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3364690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3364762Z     self_outputs = self.self(
2025-08-26T21:02:33.3365065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3365163Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3365168Z 
2025-08-26T21:02:33.3365282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3365664Z    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
2025-08-26T21:02:33.3365738Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3365997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3366079Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3366387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3366468Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3366790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3366862Z     self_outputs = self.self(
2025-08-26T21:02:33.3367148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3367278Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3367628Z   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
2025-08-26T21:02:33.3367798Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3368086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3368167Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3368177Z 
2025-08-26T21:02:33.3368281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3368650Z    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
2025-08-26T21:02:33.3368724Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3368939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3369022Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3369293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3369365Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3369662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3369731Z     self_outputs = self.self(
2025-08-26T21:02:33.3370016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3370115Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3370447Z   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
2025-08-26T21:02:33.3370637Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3370643Z 
2025-08-26T21:02:33.3370722Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3370807Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3370882Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3370964Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3371063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3371425Z    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
2025-08-26T21:02:33.3371504Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3371726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3371817Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3372106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3372207Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3372504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3372575Z     self_outputs = self.self(
2025-08-26T21:02:33.3372870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3372984Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3373342Z   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
2025-08-26T21:02:33.3373501Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3373844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3374000Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3374004Z 
2025-08-26T21:02:33.3374079Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3374184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3374530Z    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
2025-08-26T21:02:33.3374604Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3374823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3374898Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3375180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3375253Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3375532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3375599Z     self_outputs = self.self(
2025-08-26T21:02:33.3375870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3375968Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3375972Z 
2025-08-26T21:02:33.3376071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3376421Z    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
2025-08-26T21:02:33.3376490Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3376715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3376790Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3377067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3377147Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3377423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3377498Z     self_outputs = self.self(
2025-08-26T21:02:33.3377787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3377868Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3377872Z 
2025-08-26T21:02:33.3377977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3378321Z    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
2025-08-26T21:02:33.3378414Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3378627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3378711Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3378986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3379058Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3379338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3379404Z     self_outputs = self.self(
2025-08-26T21:02:33.3379683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3379785Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3379788Z 
2025-08-26T21:02:33.3379888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3380245Z    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
2025-08-26T21:02:33.3380317Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3380551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3380627Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3380924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3380998Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3381289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3381365Z     self_outputs = self.self(
2025-08-26T21:02:33.3381650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3381779Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3382164Z   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
2025-08-26T21:02:33.3382351Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3382553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3382656Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3382660Z 
2025-08-26T21:02:33.3382783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3383125Z    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
2025-08-26T21:02:33.3383202Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3383417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3383491Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3383772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3383845Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3384142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3384210Z     self_outputs = self.self(
2025-08-26T21:02:33.3384492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3384606Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3384970Z   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
2025-08-26T21:02:33.3385110Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3385424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3385523Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3385710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3385805Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3385845Z 
2025-08-26T21:02:33.3385946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3386290Z    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
2025-08-26T21:02:33.3386368Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3386585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3386666Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3386944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3387020Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3387304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3387371Z     self_outputs = self.self(
2025-08-26T21:02:33.3387653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3387767Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3388122Z   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
2025-08-26T21:02:33.3388272Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3388275Z 
2025-08-26T21:02:33.3388392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3388744Z    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
2025-08-26T21:02:33.3388815Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3389050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3389131Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3389421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3389507Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3389795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3389874Z     self_outputs = self.self(
2025-08-26T21:02:33.3390163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3390313Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3390683Z   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
2025-08-26T21:02:33.3390840Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3390843Z 
2025-08-26T21:02:33.3390956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3391334Z    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
2025-08-26T21:02:33.3391413Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3391643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3391731Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3392022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3392098Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3392395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3392530Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3392915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3393010Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3393014Z 
2025-08-26T21:02:33.3393122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3393508Z    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
2025-08-26T21:02:33.3393585Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3393834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3393915Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3394231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3394309Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3394602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3394726Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3395040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3395137Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3395141Z 
2025-08-26T21:02:33.3395248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3395618Z    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
2025-08-26T21:02:33.3395694Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3395923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3396012Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3396303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3396396Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3396667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3396747Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3397065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3397182Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3397484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3397568Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3397592Z 
2025-08-26T21:02:33.3397701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3398063Z    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
2025-08-26T21:02:33.3398135Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3398374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3398454Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3398749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3398854Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3399126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3399212Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3399506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3399623Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3399916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3400038Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3400263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3400335Z     return self.act(input)
2025-08-26T21:02:33.3400338Z 
2025-08-26T21:02:33.3400451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3400813Z    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
2025-08-26T21:02:33.3400893Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3401121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3401207Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3401543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3401631Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3401907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3401985Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3402288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3402414Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3402707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3402797Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3402800Z 
2025-08-26T21:02:33.3402905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3403298Z    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
2025-08-26T21:02:33.3403372Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3403616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3403698Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3403987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3404089Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3404361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3404437Z     self_outputs = self.self(
2025-08-26T21:02:33.3404719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3404799Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3404812Z 
2025-08-26T21:02:33.3404912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3405254Z    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
2025-08-26T21:02:33.3405347Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3405560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3405644Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3405916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3405988Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3406270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3406337Z     self_outputs = self.self(
2025-08-26T21:02:33.3406618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3406716Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3407051Z   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
2025-08-26T21:02:33.3407243Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3407247Z 
2025-08-26T21:02:33.3407345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3407709Z    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
2025-08-26T21:02:33.3407778Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3408001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3408076Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3408347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3408429Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3408702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3408776Z     self_outputs = self.self(
2025-08-26T21:02:33.3409048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3409131Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3409136Z 
2025-08-26T21:02:33.3409234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3409591Z    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
2025-08-26T21:02:33.3409669Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3409885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3409970Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3410242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3410342Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3410623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3410692Z     self_outputs = self.self(
2025-08-26T21:02:33.3410974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3411074Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3411416Z   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
2025-08-26T21:02:33.3411584Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3411869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3411957Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3411961Z 
2025-08-26T21:02:33.3412064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3412435Z    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
2025-08-26T21:02:33.3412509Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3412746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3412826Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3413114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3413200Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3413493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3413570Z     self_outputs = self.self(
2025-08-26T21:02:33.3413862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3413981Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3414347Z   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
2025-08-26T21:02:33.3414686Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3414692Z 
2025-08-26T21:02:33.3414790Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3414872Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3414959Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3415038Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3415144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3415523Z    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
2025-08-26T21:02:33.3415595Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3415833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3415956Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3416250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3416331Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3416605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3416706Z     self_outputs = self.self(
2025-08-26T21:02:33.3416980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3417088Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3417430Z   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
2025-08-26T21:02:33.3417573Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3417899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3418072Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3418076Z 
2025-08-26T21:02:33.3418165Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3418268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3418629Z    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
2025-08-26T21:02:33.3418715Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3418954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3419047Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3419346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3419436Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3419729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3419807Z     self_outputs = self.self(
2025-08-26T21:02:33.3420108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3420189Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3420193Z 
2025-08-26T21:02:33.3420307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3420704Z    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
2025-08-26T21:02:33.3420778Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3421016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3421095Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3421398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3421478Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3421779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3421849Z     self_outputs = self.self(
2025-08-26T21:02:33.3422140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3422233Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3422237Z 
2025-08-26T21:02:33.3422340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3422741Z    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
2025-08-26T21:02:33.3422815Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3423054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3423133Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3423440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3423526Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3423833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3423911Z     self_outputs = self.self(
2025-08-26T21:02:33.3424202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3424289Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3424293Z 
2025-08-26T21:02:33.3424403Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3424783Z    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
2025-08-26T21:02:33.3424862Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3425089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3425173Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3425463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3425542Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3425838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3425909Z     self_outputs = self.self(
2025-08-26T21:02:33.3426203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3426326Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3426702Z   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
2025-08-26T21:02:33.3426892Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3427110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3427220Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3427224Z 
2025-08-26T21:02:33.3427330Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3427695Z    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
2025-08-26T21:02:33.3427770Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3427998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3428087Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3428375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3428458Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3428759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3428828Z     self_outputs = self.self(
2025-08-26T21:02:33.3429139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3429263Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3429642Z   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
2025-08-26T21:02:33.3429783Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3430142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3430236Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3430435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3430544Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3430548Z 
2025-08-26T21:02:33.3430654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3431025Z    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
2025-08-26T21:02:33.3431113Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3431352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3431436Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3431738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3431824Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3432127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3432207Z     self_outputs = self.self(
2025-08-26T21:02:33.3432509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3432692Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3433090Z   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
2025-08-26T21:02:33.3433248Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3433252Z 
2025-08-26T21:02:33.3433366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3433762Z    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
2025-08-26T21:02:33.3433845Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3434090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3434172Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3434472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3434551Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3434850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3434923Z     self_outputs = self.self(
2025-08-26T21:02:33.3435222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3435342Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3435737Z   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
2025-08-26T21:02:33.3435905Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3435909Z 
2025-08-26T21:02:33.3436014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3436391Z    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
2025-08-26T21:02:33.3436482Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3436720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3436799Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3437092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3437176Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3437469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3437589Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3437878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3437984Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3437988Z 
2025-08-26T21:02:33.3438103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3438464Z    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
2025-08-26T21:02:33.3438545Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3438776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3438862Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3439152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3439230Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3439528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3439641Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3439938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3440023Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3440026Z 
2025-08-26T21:02:33.3440130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3440522Z    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
2025-08-26T21:02:33.3440597Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3440835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3440916Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3441216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3441316Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3441587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3441676Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3441970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3442091Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3442396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3442489Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3442494Z 
2025-08-26T21:02:33.3442597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3442961Z    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
2025-08-26T21:02:33.3443052Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3443268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3443352Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3443632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3443715Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3443981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3444055Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3444369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3444477Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3444756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3444865Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3445075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3445152Z     return self.act(input)
2025-08-26T21:02:33.3445155Z 
2025-08-26T21:02:33.3445253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3445603Z    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
2025-08-26T21:02:33.3445674Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3445889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3445971Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3446247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3446337Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3446624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3446710Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3447004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3447130Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3447428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3447511Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3447517Z 
2025-08-26T21:02:33.3447626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3448002Z    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
2025-08-26T21:02:33.3448082Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3448313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3448407Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3448705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3448785Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3449079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3449165Z     self_outputs = self.self(
2025-08-26T21:02:33.3449436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T21:02:33.3449522Z     query_vectors = self.query(hidden_states)
2025-08-26T21:02:33.3449525Z 
2025-08-26T21:02:33.3449623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3449971Z    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
2025-08-26T21:02:33.3450044Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3450276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3450373Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3450659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3450747Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3451033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3451110Z     self_outputs = self.self(
2025-08-26T21:02:33.3451412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3451517Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3451888Z   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
2025-08-26T21:02:33.3452078Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3452083Z 
2025-08-26T21:02:33.3452193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3452556Z    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
2025-08-26T21:02:33.3452633Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3452860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3452957Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3453257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3453334Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3453630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3453705Z     self_outputs = self.self(
2025-08-26T21:02:33.3453992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T21:02:33.3454082Z     key_vectors = self.key(hidden_states)
2025-08-26T21:02:33.3454085Z 
2025-08-26T21:02:33.3454187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3454557Z    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
2025-08-26T21:02:33.3454630Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3454883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3454964Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3455251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3455338Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3455626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3455725Z     self_outputs = self.self(
2025-08-26T21:02:33.3456017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3456131Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3456488Z   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
2025-08-26T21:02:33.3456650Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T21:02:33.3456952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T21:02:33.3457049Z     hidden_states = hidden_states.view(
2025-08-26T21:02:33.3457052Z 
2025-08-26T21:02:33.3457162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3457524Z    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
2025-08-26T21:02:33.3457602Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3457832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3457910Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3458208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3458284Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3458582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3458654Z     self_outputs = self.self(
2025-08-26T21:02:33.3458943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T21:02:33.3459053Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3459405Z   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
2025-08-26T21:02:33.3459631Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T21:02:33.3459935Z 
2025-08-26T21:02:33.3460030Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3460253Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3460481Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3460708Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3460957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3461505Z    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
2025-08-26T21:02:33.3462028Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3462401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3462790Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3463237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3463691Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3464160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3464605Z     self_outputs = self.self(
2025-08-26T21:02:33.3465032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T21:02:33.3465559Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T21:02:33.3466109Z   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
2025-08-26T21:02:33.3466682Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T21:02:33.3467318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T21:02:33.3467878Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T21:02:33.3468099Z 
2025-08-26T21:02:33.3468181Z cudagraph partition due to non gpu ops
2025-08-26T21:02:33.3468431Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3469000Z    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
2025-08-26T21:02:33.3469500Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3469873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3470266Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3470713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3471158Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3471609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3472043Z     self_outputs = self.self(
2025-08-26T21:02:33.3472479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T21:02:33.3473007Z     attn_scores += diagonal_mask
2025-08-26T21:02:33.3473143Z 
2025-08-26T21:02:33.3473261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3473812Z    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
2025-08-26T21:02:33.3474335Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3474739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3475115Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3475547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3475993Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3476444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3476887Z     self_outputs = self.self(
2025-08-26T21:02:33.3477314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T21:02:33.3477757Z     attn_probs = nn.functional.softmax(
2025-08-26T21:02:33.3477909Z 
2025-08-26T21:02:33.3478019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3478572Z    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
2025-08-26T21:02:33.3479088Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3479481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3479865Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3480319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3480764Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3481239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3481685Z     self_outputs = self.self(
2025-08-26T21:02:33.3482107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T21:02:33.3482570Z     value_vectors = self.value(hidden_states)
2025-08-26T21:02:33.3482730Z 
2025-08-26T21:02:33.3482840Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3483399Z    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
2025-08-26T21:02:33.3483925Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3484303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3484680Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3485117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3485545Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3485971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3486401Z     self_outputs = self.self(
2025-08-26T21:02:33.3486815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3487290Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3487835Z   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
2025-08-26T21:02:33.3488445Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T21:02:33.3488893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3489258Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3489415Z 
2025-08-26T21:02:33.3489532Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3490087Z    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
2025-08-26T21:02:33.3490584Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3490949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3491326Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3491766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3492202Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3492632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3493061Z     self_outputs = self.self(
2025-08-26T21:02:33.3493483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3493957Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3494528Z   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
2025-08-26T21:02:33.3495060Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T21:02:33.3495571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T21:02:33.3496084Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T21:02:33.3496440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T21:02:33.3496829Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T21:02:33.3496992Z 
2025-08-26T21:02:33.3497102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3497641Z    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
2025-08-26T21:02:33.3498119Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3498461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3498844Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3499254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3499674Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3500104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3500539Z     self_outputs = self.self(
2025-08-26T21:02:33.3500951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3501437Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3501984Z   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
2025-08-26T21:02:33.3502543Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3502750Z 
2025-08-26T21:02:33.3502862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3503371Z    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
2025-08-26T21:02:33.3503869Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3504235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3504644Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3505090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3505566Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3505983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T21:02:33.3506394Z     self_outputs = self.self(
2025-08-26T21:02:33.3506790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T21:02:33.3507244Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T21:02:33.3507800Z   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
2025-08-26T21:02:33.3508402Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T21:02:33.3508627Z 
2025-08-26T21:02:33.3508736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3509298Z    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
2025-08-26T21:02:33.3509799Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3510179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3510573Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3511031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3511470Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3511918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3512452Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3513024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3513490Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3513644Z 
2025-08-26T21:02:33.3513758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3514353Z    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
2025-08-26T21:02:33.3515049Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3515423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3515804Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3516242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T21:02:33.3516683Z     self_attn_outputs = self.attention(
2025-08-26T21:02:33.3517126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T21:02:33.3517593Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:02:33.3518061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T21:02:33.3518492Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3518650Z 
2025-08-26T21:02:33.3518757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3519294Z    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
2025-08-26T21:02:33.3519799Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3520203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3520582Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3521012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3521454Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3521881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3522294Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3522734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3523215Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3523688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T21:02:33.3524123Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3524261Z 
2025-08-26T21:02:33.3524398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3524906Z    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
2025-08-26T21:02:33.3525390Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3525734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3526117Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3526529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3526951Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3527354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3527747Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3528161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T21:02:33.3528605Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T21:02:33.3529082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T21:02:33.3529529Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:02:33.3529922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:33.3530305Z     return self.act(input)
2025-08-26T21:02:33.3530426Z 
2025-08-26T21:02:33.3530534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:33.3531084Z    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
2025-08-26T21:02:33.3531596Z     layer_outputs = layer_module(
2025-08-26T21:02:33.3531960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:33.3532323Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:33.3532733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T21:02:33.3533160Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:02:33.3533557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:02:33.3533948Z     return forward_fn(*input_tensors)
2025-08-26T21:02:33.3534379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T21:02:33.3534843Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T21:02:33.3535309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T21:02:33.3535727Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:02:33.3535864Z 
2025-08-26T21:03:48.2282032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:48.2282974Z    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
2025-08-26T21:03:48.2286523Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T21:03:48.2287111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1333, in forward
2025-08-26T21:03:48.2287579Z     x = self.dense(features)
2025-08-26T21:03:48.2287740Z 
2025-08-26T21:03:48.2287861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:48.2288776Z    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
2025-08-26T21:03:48.2289351Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T21:03:48.2289833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1338, in forward
2025-08-26T21:03:48.2290264Z     x = self.decoder(x)
2025-08-26T21:03:48.2290464Z 
2025-08-26T21:03:51.0583893Z Compilation time (from dynamo_timed): 267.596867132
2025-08-26T21:03:51.0986281Z pass
2025-08-26T21:03:51.0989281Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:03:51.0990197Z TIMING: gc:0.00768 entire_frame_compile:267.59687 _recursive_pre_grad_passes:0.02571 _recursive_joint_graph_passes:2.81752 _recursive_post_grad_passes:13.57135 async_compile.wait:3.31576 code_gen:71.31694 inductor_compile:115.29202 backend_compile:217.76274 total_wall_time:267.59687
2025-08-26T21:03:51.0991462Z STATS: call_* op count: 1849 | FakeTensorMode.__torch_dispatch__:66292 | attempt fast:361 | fast is_contiguous:352 | FakeTensor.__torch_dispatch__:17390 | ProxyTorchDispatchMode.__torch_dispatch__:19860 | slow both tensors nontrivially broadcast:6 | slow no contiguity match:3
2025-08-26T21:03:51.0992546Z Dynamo produced 4 graphs covering 1849 ops with 4 graph breaks (1 unique)
2025-08-26T21:04:34.3228698Z 
2025-08-26T21:04:35.6761095Z 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)`.
2025-08-26T21:04:35.6762775Z 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)`.
2025-08-26T21:04:36.0046453Z 
2025-08-26T21:04:36.0047049Z loading model: 0it [00:01, ?it/s]
2025-08-26T21:04:36.0061683Z cpu  eval  hf_Reformer                        
2025-08-26T21:04:37.8964971Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:04:38.5572482Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:04:39.1823233Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:04:46.3945527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:46.3946379Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2095, in forward
2025-08-26T21:04:46.3947372Z     least_common_mult_chunk_length = _get_least_common_mult_chunk_len(self.config)
2025-08-26T21:04:46.3947994Z   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
2025-08-26T21:04:46.3948591Z     return np.lcm(config.lsh_attn_chunk_length, config.local_attn_chunk_length)
2025-08-26T21:04:46.3948823Z 
2025-08-26T21:04:46.3948941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:46.3949409Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2099, in forward
2025-08-26T21:04:46.3949952Z     input_shape[-1] % least_common_mult_chunk_length != 0
2025-08-26T21:04:46.3950126Z 
2025-08-26T21:04:47.2886531Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break from `Tensor.item()`, consider setting:
2025-08-26T21:04:47.2887296Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-26T21:04:47.2888078Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] or:
2025-08-26T21:04:47.2888602Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-26T21:04:47.2889241Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] to include these operations in the captured graph.
2025-08-26T21:04:47.2889738Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-26T21:04:47.2890289Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break: from user code at:
2025-08-26T21:04:47.2891157Z W0826 21:04:47.287420 24833 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
2025-08-26T21:04:47.2892026Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     embedding_output = self.embeddings(
2025-08-26T21:04:47.2892800Z W0826 21:04:47.287420 24833 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
2025-08-26T21:04:47.2893686Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     position_embeddings = self.position_embeddings(position_ids)
2025-08-26T21:04:47.2894523Z W0826 21:04:47.287420 24833 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
2025-08-26T21:04:47.2895317Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     max_position_id = position_ids.max().item()
2025-08-26T21:04:47.2895821Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-26T21:04:47.2896209Z W0826 21:04:47.287420 24833 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-26T21:04:47.8443416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:47.8444020Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 351, in forward
2025-08-26T21:04:47.8444507Z     position_ids = torch.arange(
2025-08-26T21:04:47.8444644Z 
2025-08-26T21:04:47.8444778Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:47.8445255Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 357, in forward
2025-08-26T21:04:47.8445766Z     inputs_embeds = self.word_embeddings(input_ids)
2025-08-26T21:04:47.8445933Z 
2025-08-26T21:04:48.7856864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:48.7857482Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward
2025-08-26T21:04:48.7858011Z     max_position_id = position_ids.max().item()
2025-08-26T21:04:48.7858218Z 
2025-08-26T21:04:50.4315109Z cudagraph partition due to non gpu ops
2025-08-26T21:04:50.4315493Z cudagraph partition due to non gpu ops
2025-08-26T21:04:50.4315767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:50.4316340Z    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
2025-08-26T21:04:50.4316879Z     position_encodings = torch.cat(
2025-08-26T21:04:50.4317032Z 
2025-08-26T21:04:50.4317146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:50.4317689Z    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
2025-08-26T21:04:50.4318207Z     position_encodings = torch.cat(
2025-08-26T21:04:50.4318339Z 
2025-08-26T21:04:52.0310655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:52.0311395Z    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
2025-08-26T21:04:52.0311966Z     embeddings = embeddings + position_embeddings
2025-08-26T21:04:52.0312130Z 
2025-08-26T21:04:57.5693330Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5694607Z    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
2025-08-26T21:04:57.5695296Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5696343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5701871Z     layer_outputs = layer(
2025-08-26T21:04:57.5702437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5703021Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5703493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5704181Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5704654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.5705198Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.5705736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T21:04:57.5706326Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T21:04:57.5706611Z 
2025-08-26T21:04:57.5706738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5707314Z    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
2025-08-26T21:04:57.5722985Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5723560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5724161Z     layer_outputs = layer(
2025-08-26T21:04:57.5724608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5725060Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5725653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5726129Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5726608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.5727169Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.5727830Z   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
2025-08-26T21:04:57.5728438Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-26T21:04:57.5728646Z 
2025-08-26T21:04:57.5728770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5729334Z    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
2025-08-26T21:04:57.5729886Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5730407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5730834Z     layer_outputs = layer(
2025-08-26T21:04:57.5731255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5731691Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5732127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5732621Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5733080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.5733641Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.5734311Z   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
2025-08-26T21:04:57.5734910Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-26T21:04:57.5735112Z 
2025-08-26T21:04:57.5735280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5735820Z    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
2025-08-26T21:04:57.5736358Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5736812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5737246Z     layer_outputs = layer(
2025-08-26T21:04:57.5737653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5738100Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5738532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5738986Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5739436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.5739939Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.5740471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T21:04:57.5741046Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T21:04:57.5741313Z 
2025-08-26T21:04:57.5741458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5742009Z    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
2025-08-26T21:04:57.5742536Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5742994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5743440Z     layer_outputs = layer(
2025-08-26T21:04:57.5744033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5744480Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5744903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5745355Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5745807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.5746390Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.5747055Z   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
2025-08-26T21:04:57.5747640Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-26T21:04:57.5747844Z 
2025-08-26T21:04:57.5747960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5748541Z    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
2025-08-26T21:04:57.5749096Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5749568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5750011Z     layer_outputs = layer(
2025-08-26T21:04:57.5750442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5750886Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5751321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5751827Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5752275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.5752923Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.5753592Z   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
2025-08-26T21:04:57.5754195Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-26T21:04:57.5754394Z 
2025-08-26T21:04:57.5754517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5755060Z    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
2025-08-26T21:04:57.5755592Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5756061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5756495Z     layer_outputs = layer(
2025-08-26T21:04:57.5756912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5757336Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5757790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5758246Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5758699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.5759212Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.5759731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T21:04:57.5760305Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T21:04:57.5760583Z 
2025-08-26T21:04:57.5760692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5761219Z    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
2025-08-26T21:04:57.5761734Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5762190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5762609Z     layer_outputs = layer(
2025-08-26T21:04:57.5763003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5763436Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5763867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5764318Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5764767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.5765323Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.5765960Z   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
2025-08-26T21:04:57.5766528Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-26T21:04:57.5766734Z 
2025-08-26T21:04:57.5766845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5767368Z    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
2025-08-26T21:04:57.5767879Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5768321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5768738Z     layer_outputs = layer(
2025-08-26T21:04:57.5769133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5769554Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5769969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5770403Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5770829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.5771366Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.5771992Z   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
2025-08-26T21:04:57.5772585Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-26T21:04:57.5772778Z 
2025-08-26T21:04:57.5772894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5773418Z    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
2025-08-26T21:04:57.5773921Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5774362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5774781Z     layer_outputs = layer(
2025-08-26T21:04:57.5775181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5775601Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5776008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5776450Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5776914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-26T21:04:57.5777362Z     query_vectors = self.query(hidden_states)
2025-08-26T21:04:57.5777511Z 
2025-08-26T21:04:57.5777621Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5778157Z    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
2025-08-26T21:04:57.5778692Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5779131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5779549Z     layer_outputs = layer(
2025-08-26T21:04:57.5779944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5780369Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5780785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5781227Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5781660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-26T21:04:57.5782103Z     key_vectors = self.key(hidden_states)
2025-08-26T21:04:57.5782257Z 
2025-08-26T21:04:57.5782348Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5782577Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5782827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5783342Z    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
2025-08-26T21:04:57.5783856Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5784295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5784710Z     layer_outputs = layer(
2025-08-26T21:04:57.5785109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5785526Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5785943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5786387Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5786801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T21:04:57.5787363Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.5787915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.5788435Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.5788660Z 
2025-08-26T21:04:57.5788744Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5788971Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5789223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5789724Z    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
2025-08-26T21:04:57.5790209Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5790658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5791091Z     layer_outputs = layer(
2025-08-26T21:04:57.5791530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5792041Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5792481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5792986Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5793449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T21:04:57.5793998Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.5794548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.5794968Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.5795104Z 
2025-08-26T21:04:57.5795208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5795707Z    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
2025-08-26T21:04:57.5796193Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5796597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5797062Z     layer_outputs = layer(
2025-08-26T21:04:57.5797444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5797847Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5798250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5798694Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5799133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T21:04:57.5799643Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.5799866Z 
2025-08-26T21:04:57.5799976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5800469Z    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
2025-08-26T21:04:57.5800961Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5801379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5801778Z     layer_outputs = layer(
2025-08-26T21:04:57.5802177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5802596Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5803006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5803445Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5803878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T21:04:57.5804368Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.5804584Z 
2025-08-26T21:04:57.5804691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5805217Z    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
2025-08-26T21:04:57.5805722Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5806163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5806595Z     layer_outputs = layer(
2025-08-26T21:04:57.5807004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5807438Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5807855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5808295Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5808790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-26T21:04:57.5809240Z     value_vectors = self.value(hidden_states)
2025-08-26T21:04:57.5809388Z 
2025-08-26T21:04:57.5809482Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5809713Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5809957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5810494Z    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
2025-08-26T21:04:57.5811007Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5811469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5811900Z     layer_outputs = layer(
2025-08-26T21:04:57.5812292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5812713Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5813143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5813593Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5814023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-26T21:04:57.5814785Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.5815379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.5815911Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.5816135Z 
2025-08-26T21:04:57.5816225Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5816429Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5816663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5817219Z    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
2025-08-26T21:04:57.5817710Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5818149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5818562Z     layer_outputs = layer(
2025-08-26T21:04:57.5818970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5819390Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5819807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5820249Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5820681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T21:04:57.5821148Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.5821332Z 
2025-08-26T21:04:57.5821441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5822003Z    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
2025-08-26T21:04:57.5822515Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5822962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5823387Z     layer_outputs = layer(
2025-08-26T21:04:57.5823824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5824256Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5824670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5825116Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5825562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T21:04:57.5826036Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.5826215Z 
2025-08-26T21:04:57.5826333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5826877Z    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
2025-08-26T21:04:57.5827394Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5827833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5828252Z     layer_outputs = layer(
2025-08-26T21:04:57.5828653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5829083Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5829524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5829961Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5830404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-26T21:04:57.5830978Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T21:04:57.5831603Z   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
2025-08-26T21:04:57.5832236Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T21:04:57.5832453Z 
2025-08-26T21:04:57.5832640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5833213Z    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
2025-08-26T21:04:57.5833749Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5834207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5834645Z     layer_outputs = layer(
2025-08-26T21:04:57.5835076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5835503Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5835933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T21:04:57.5836435Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T21:04:57.5836950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T21:04:57.5837421Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5837570Z 
2025-08-26T21:04:57.5837686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5838499Z    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
2025-08-26T21:04:57.5839021Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5839487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5839904Z     layer_outputs = layer(
2025-08-26T21:04:57.5840306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.5840787Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.5841255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.5841688Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.5842104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.5842544Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.5842980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.5843423Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5843853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T21:04:57.5844285Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5844429Z 
2025-08-26T21:04:57.5844547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5845056Z    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
2025-08-26T21:04:57.5845530Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5845943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5846337Z     layer_outputs = layer(
2025-08-26T21:04:57.5846714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.5847158Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.5847593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.5848018Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.5848428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.5848842Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.5849274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.5849733Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5850183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T21:04:57.5850622Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T21:04:57.5850771Z 
2025-08-26T21:04:57.5850888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5851418Z    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
2025-08-26T21:04:57.5851941Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5852421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5852843Z     layer_outputs = layer(
2025-08-26T21:04:57.5853258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.5853727Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.5854221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.5854671Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.5855084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.5855503Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.5855950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T21:04:57.5856363Z     return self.output(hidden_states)
2025-08-26T21:04:57.5856755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T21:04:57.5857189Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5857326Z 
2025-08-26T21:04:57.5857437Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5857929Z    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
2025-08-26T21:04:57.5858422Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5858840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5859259Z     layer_outputs = layer(
2025-08-26T21:04:57.5859673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5860095Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5860508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5860931Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5861347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-26T21:04:57.5861787Z     query_key_vectors = self.query_key(hidden_states)
2025-08-26T21:04:57.5861950Z 
2025-08-26T21:04:57.5862060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5862617Z    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
2025-08-26T21:04:57.5863135Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5863579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5863994Z     layer_outputs = layer(
2025-08-26T21:04:57.5864393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5864816Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5865228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5865666Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5866095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.5866592Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.5867145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T21:04:57.5867702Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T21:04:57.5867960Z 
2025-08-26T21:04:57.5868079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5868592Z    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
2025-08-26T21:04:57.5869125Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5869563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5869984Z     layer_outputs = layer(
2025-08-26T21:04:57.5870383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5870803Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5871247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5871698Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5872165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.5872756Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.5873316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-26T21:04:57.5873867Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-26T21:04:57.5874101Z 
2025-08-26T21:04:57.5874218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5874752Z    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
2025-08-26T21:04:57.5875293Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5875749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5876179Z     layer_outputs = layer(
2025-08-26T21:04:57.5876595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5877019Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5877457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5877912Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5878377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.5878884Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.5879391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-26T21:04:57.5879908Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-26T21:04:57.5880120Z 
2025-08-26T21:04:57.5880228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5880756Z    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
2025-08-26T21:04:57.5881264Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5881676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5882075Z     layer_outputs = layer(
2025-08-26T21:04:57.5883236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5883682Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5884111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5884561Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5885023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.5885543Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.5886050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-26T21:04:57.5886512Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-26T21:04:57.5886672Z 
2025-08-26T21:04:57.5886787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5887317Z    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
2025-08-26T21:04:57.5887840Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5888317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5888727Z     layer_outputs = layer(
2025-08-26T21:04:57.5889130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5889569Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5890015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5890461Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5890892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.5891442Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.5892078Z   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
2025-08-26T21:04:57.5892630Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T21:04:57.5893103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-26T21:04:57.5893625Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-26T21:04:57.5893856Z 
2025-08-26T21:04:57.5893971Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5894228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5894765Z    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
2025-08-26T21:04:57.5895275Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5895705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5896131Z     layer_outputs = layer(
2025-08-26T21:04:57.5896528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5896960Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5897371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5897812Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5898268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.5898815Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.5899453Z   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
2025-08-26T21:04:57.5900005Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T21:04:57.5900519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-26T21:04:57.5900982Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-26T21:04:57.5901141Z 
2025-08-26T21:04:57.5901227Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5901453Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5901703Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5902226Z    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
2025-08-26T21:04:57.5902740Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5903213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5903639Z     layer_outputs = layer(
2025-08-26T21:04:57.5904035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5904455Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5904873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5905315Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5905760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.5906208Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.5906658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T21:04:57.5907223Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.5907802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.5908326Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.5908546Z 
2025-08-26T21:04:57.5908628Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5908874Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5909128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5909659Z    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
2025-08-26T21:04:57.5910175Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5910608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5911027Z     layer_outputs = layer(
2025-08-26T21:04:57.5911423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5911846Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5912255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5912804Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5913345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.5913815Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.5914280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T21:04:57.5915073Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.5915672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.5916181Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.5916329Z 
2025-08-26T21:04:57.5916412Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5916668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5917216Z    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
2025-08-26T21:04:57.5917764Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5918214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5918682Z     layer_outputs = layer(
2025-08-26T21:04:57.5919115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5919555Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5919992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5920462Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5920924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-26T21:04:57.5921381Z     value_vectors = self.value(hidden_states)
2025-08-26T21:04:57.5921536Z 
2025-08-26T21:04:57.5921655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5922216Z    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
2025-08-26T21:04:57.5922752Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5923213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5923638Z     layer_outputs = layer(
2025-08-26T21:04:57.5924039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5924476Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5924951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5925391Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5925829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.5926249Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.5926676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T21:04:57.5927177Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.5927698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.5928187Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.5928393Z 
2025-08-26T21:04:57.5928473Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5928713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5929237Z    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
2025-08-26T21:04:57.5929728Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5930146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5930536Z     layer_outputs = layer(
2025-08-26T21:04:57.5930936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5931331Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5931721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5932126Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5932538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.5932969Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.5933413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T21:04:57.5933965Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.5934504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.5934926Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.5935059Z 
2025-08-26T21:04:57.5935162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5935660Z    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
2025-08-26T21:04:57.5936152Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5936562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5936961Z     layer_outputs = layer(
2025-08-26T21:04:57.5937340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5937742Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5938137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5938543Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5938995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-26T21:04:57.5939525Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-26T21:04:57.5940090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-26T21:04:57.5940546Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-26T21:04:57.5940695Z 
2025-08-26T21:04:57.5940799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5941294Z    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
2025-08-26T21:04:57.5941775Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5942184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5942576Z     layer_outputs = layer(
2025-08-26T21:04:57.5942943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5943425Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5943851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5944311Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5944748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.5945215Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.5945663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-26T21:04:57.5946176Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.5946394Z 
2025-08-26T21:04:57.5946509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5947040Z    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
2025-08-26T21:04:57.5947553Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5948006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5948458Z     layer_outputs = layer(
2025-08-26T21:04:57.5948868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5949296Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5949725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5950170Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5950673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.5951138Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.5951594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-26T21:04:57.5952160Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.5952805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.5953349Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.5953583Z 
2025-08-26T21:04:57.5953679Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5953956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5954534Z    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
2025-08-26T21:04:57.5955044Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5955493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5955915Z     layer_outputs = layer(
2025-08-26T21:04:57.5956330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5956752Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5957177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5957621Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5958052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.5958497Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.5958965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T21:04:57.5959419Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.5959605Z 
2025-08-26T21:04:57.5959714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5960243Z    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
2025-08-26T21:04:57.5960771Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5961214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5961631Z     layer_outputs = layer(
2025-08-26T21:04:57.5962043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5962469Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5962880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5963344Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5963773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.5964224Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.5964665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T21:04:57.5965125Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.5965303Z 
2025-08-26T21:04:57.5965398Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.5965644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5966164Z    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
2025-08-26T21:04:57.5966674Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5967112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5967531Z     layer_outputs = layer(
2025-08-26T21:04:57.5967922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5968344Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5968758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5969226Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.5969656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-26T21:04:57.5970217Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T21:04:57.5970824Z   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
2025-08-26T21:04:57.5971373Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T21:04:57.5971580Z 
2025-08-26T21:04:57.5971696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5972218Z    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
2025-08-26T21:04:57.5972725Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5973164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5973598Z     layer_outputs = layer(
2025-08-26T21:04:57.5973999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5974416Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5974828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T21:04:57.5975340Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T21:04:57.5975837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T21:04:57.5976272Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5976419Z 
2025-08-26T21:04:57.5976528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5977051Z    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
2025-08-26T21:04:57.5977554Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5977966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5978416Z     layer_outputs = layer(
2025-08-26T21:04:57.5978805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.5979280Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.5979727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.5980130Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.5980525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.5980917Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.5981357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.5981804Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5982211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T21:04:57.5982623Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5982764Z 
2025-08-26T21:04:57.5982871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5983393Z    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
2025-08-26T21:04:57.5983922Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5984364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5984780Z     layer_outputs = layer(
2025-08-26T21:04:57.5985169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.5985645Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.5986115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.5986540Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.5986944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.5987354Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.5987791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.5988261Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5988689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T21:04:57.5989126Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T21:04:57.5989285Z 
2025-08-26T21:04:57.5989398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5989936Z    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
2025-08-26T21:04:57.5990487Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5990923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5991342Z     layer_outputs = layer(
2025-08-26T21:04:57.5991751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.5992232Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.5992781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.5993260Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.5993678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.5994108Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.5994549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T21:04:57.5994997Z     return self.output(hidden_states)
2025-08-26T21:04:57.5995422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T21:04:57.5995849Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.5996006Z 
2025-08-26T21:04:57.5996114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.5996640Z    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
2025-08-26T21:04:57.5997157Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.5997590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.5997999Z     layer_outputs = layer(
2025-08-26T21:04:57.5998399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.5998819Z     attn_outputs = self.attention(
2025-08-26T21:04:57.5999256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.5999692Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6000135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-26T21:04:57.6000568Z     query_vectors = self.query(hidden_states)
2025-08-26T21:04:57.6000710Z 
2025-08-26T21:04:57.6000826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6001349Z    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
2025-08-26T21:04:57.6001853Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6002290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6002706Z     layer_outputs = layer(
2025-08-26T21:04:57.6003126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6003544Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6003952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6004390Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6004824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-26T21:04:57.6005273Z     key_vectors = self.key(hidden_states)
2025-08-26T21:04:57.6005412Z 
2025-08-26T21:04:57.6005508Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6005724Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6005972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6006500Z    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
2025-08-26T21:04:57.6007009Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6007440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6007881Z     layer_outputs = layer(
2025-08-26T21:04:57.6008280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6008708Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6009124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6009563Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6010006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T21:04:57.6010548Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6011104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6011626Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6011844Z 
2025-08-26T21:04:57.6011927Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6012146Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6012395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6012919Z    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
2025-08-26T21:04:57.6013433Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6013885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6014308Z     layer_outputs = layer(
2025-08-26T21:04:57.6014839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6015274Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6015696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6016166Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6016612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T21:04:57.6017150Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6017709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.6018169Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.6018313Z 
2025-08-26T21:04:57.6018478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6019034Z    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
2025-08-26T21:04:57.6019555Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6020025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6020466Z     layer_outputs = layer(
2025-08-26T21:04:57.6020904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6021328Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6021751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6022223Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6022657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T21:04:57.6023189Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.6023438Z 
2025-08-26T21:04:57.6023546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6024073Z    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
2025-08-26T21:04:57.6024590Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6025018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6025458Z     layer_outputs = layer(
2025-08-26T21:04:57.6025891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6026315Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6026759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6027193Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6027630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T21:04:57.6028129Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.6028339Z 
2025-08-26T21:04:57.6028458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6029024Z    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
2025-08-26T21:04:57.6029546Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6030009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6030453Z     layer_outputs = layer(
2025-08-26T21:04:57.6030876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6031324Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6031750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6032216Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6032728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-26T21:04:57.6033185Z     value_vectors = self.value(hidden_states)
2025-08-26T21:04:57.6033336Z 
2025-08-26T21:04:57.6033421Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6033674Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6033947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6034486Z    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
2025-08-26T21:04:57.6035016Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6035456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6035924Z     layer_outputs = layer(
2025-08-26T21:04:57.6036331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6036764Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6037187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6037632Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6038078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-26T21:04:57.6038647Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6039251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6039784Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6040004Z 
2025-08-26T21:04:57.6040087Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6040312Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6040568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6041108Z    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
2025-08-26T21:04:57.6041615Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6042065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6042480Z     layer_outputs = layer(
2025-08-26T21:04:57.6042894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6043311Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6043705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6044121Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6044547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T21:04:57.6045021Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.6045198Z 
2025-08-26T21:04:57.6045312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6045840Z    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
2025-08-26T21:04:57.6046347Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6046760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6047158Z     layer_outputs = layer(
2025-08-26T21:04:57.6047536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6047933Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6048324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6048758Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6049168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T21:04:57.6049608Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.6049776Z 
2025-08-26T21:04:57.6049878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6050395Z    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
2025-08-26T21:04:57.6050903Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6051342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6051754Z     layer_outputs = layer(
2025-08-26T21:04:57.6052122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6052516Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6052903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6053341Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6053745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-26T21:04:57.6054287Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T21:04:57.6054864Z   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
2025-08-26T21:04:57.6055376Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T21:04:57.6055573Z 
2025-08-26T21:04:57.6055682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6056172Z    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
2025-08-26T21:04:57.6056659Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6057074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6057469Z     layer_outputs = layer(
2025-08-26T21:04:57.6057849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6058243Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6058655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T21:04:57.6059124Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T21:04:57.6059586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T21:04:57.6059998Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6060136Z 
2025-08-26T21:04:57.6060239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6060731Z    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
2025-08-26T21:04:57.6061220Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6061631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6062026Z     layer_outputs = layer(
2025-08-26T21:04:57.6062431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6062924Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6063413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6063840Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6064250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6064674Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6065107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.6065562Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6066001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T21:04:57.6066428Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6066572Z 
2025-08-26T21:04:57.6066680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6067207Z    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
2025-08-26T21:04:57.6067736Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6068181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6068599Z     layer_outputs = layer(
2025-08-26T21:04:57.6068987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6069457Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6069927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6070350Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6070754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6071163Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6071597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.6072043Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6072560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T21:04:57.6073050Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T21:04:57.6073209Z 
2025-08-26T21:04:57.6073350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6073894Z    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
2025-08-26T21:04:57.6074415Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6074848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6075258Z     layer_outputs = layer(
2025-08-26T21:04:57.6075656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6076131Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6076596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6077020Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6077423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6077851Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6078297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T21:04:57.6078750Z     return self.output(hidden_states)
2025-08-26T21:04:57.6079176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T21:04:57.6079628Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6079803Z 
2025-08-26T21:04:57.6079909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6080446Z    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
2025-08-26T21:04:57.6080965Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6081407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6081820Z     layer_outputs = layer(
2025-08-26T21:04:57.6082236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6082680Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6083105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6083537Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6083978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-26T21:04:57.6084426Z     query_key_vectors = self.query_key(hidden_states)
2025-08-26T21:04:57.6084583Z 
2025-08-26T21:04:57.6084699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6085230Z    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
2025-08-26T21:04:57.6085736Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6086189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6086607Z     layer_outputs = layer(
2025-08-26T21:04:57.6087007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6087436Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6087863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6088315Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6088774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.6089277Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.6089791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T21:04:57.6090339Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T21:04:57.6090603Z 
2025-08-26T21:04:57.6090712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6091234Z    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
2025-08-26T21:04:57.6091747Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6092185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6092591Z     layer_outputs = layer(
2025-08-26T21:04:57.6093021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6093444Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6093854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6094297Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6094721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.6095240Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.6095755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-26T21:04:57.6096281Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-26T21:04:57.6096499Z 
2025-08-26T21:04:57.6096620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6097144Z    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
2025-08-26T21:04:57.6097674Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6098116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6098531Z     layer_outputs = layer(
2025-08-26T21:04:57.6098921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6099340Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6099754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6100191Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6100623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.6101107Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.6101619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-26T21:04:57.6102130Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-26T21:04:57.6102338Z 
2025-08-26T21:04:57.6102454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6102980Z    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
2025-08-26T21:04:57.6103514Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6103968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6104387Z     layer_outputs = layer(
2025-08-26T21:04:57.6104807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6105229Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6105653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6106097Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6106536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.6107029Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.6107539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-26T21:04:57.6108016Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-26T21:04:57.6108182Z 
2025-08-26T21:04:57.6108290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6108825Z    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
2025-08-26T21:04:57.6109338Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6109794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6110212Z     layer_outputs = layer(
2025-08-26T21:04:57.6110613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6111040Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6111470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6111925Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6112364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.6113016Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.6113672Z   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
2025-08-26T21:04:57.6114242Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T21:04:57.6114838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-26T21:04:57.6115340Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-26T21:04:57.6115558Z 
2025-08-26T21:04:57.6115645Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6115886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6116389Z    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
2025-08-26T21:04:57.6116884Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6117294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6117694Z     layer_outputs = layer(
2025-08-26T21:04:57.6118074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6118472Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6118909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6119333Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6119767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.6120303Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.6120933Z   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
2025-08-26T21:04:57.6121467Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T21:04:57.6121920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-26T21:04:57.6122384Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-26T21:04:57.6122545Z 
2025-08-26T21:04:57.6122630Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6122890Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6123134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6123656Z    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
2025-08-26T21:04:57.6124157Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6124596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6125038Z     layer_outputs = layer(
2025-08-26T21:04:57.6125433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6125856Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6126276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6126724Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6127167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6127614Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6128107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T21:04:57.6128669Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6129250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6129771Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6129989Z 
2025-08-26T21:04:57.6130071Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6130297Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6130545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6131074Z    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
2025-08-26T21:04:57.6131596Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6132032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6132454Z     layer_outputs = layer(
2025-08-26T21:04:57.6132857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6133284Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6133717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6134166Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6134604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6135057Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6135507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T21:04:57.6136055Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6136627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.6137068Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.6137202Z 
2025-08-26T21:04:57.6137293Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6137543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6138082Z    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
2025-08-26T21:04:57.6138599Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6139040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6139455Z     layer_outputs = layer(
2025-08-26T21:04:57.6139877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6140292Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6140711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6141145Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6141555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-26T21:04:57.6141951Z     value_vectors = self.value(hidden_states)
2025-08-26T21:04:57.6142100Z 
2025-08-26T21:04:57.6142207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6142761Z    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
2025-08-26T21:04:57.6143274Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6143722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6144140Z     layer_outputs = layer(
2025-08-26T21:04:57.6144555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6144981Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6145412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6145845Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6146271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6146723Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6147172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T21:04:57.6147705Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6148345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6148865Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6149090Z 
2025-08-26T21:04:57.6149176Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6149426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6149946Z    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
2025-08-26T21:04:57.6150460Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6150908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6151333Z     layer_outputs = layer(
2025-08-26T21:04:57.6151748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6152186Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6152684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6153171Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6153624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6154097Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6154558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T21:04:57.6155112Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6155658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.6156100Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.6156246Z 
2025-08-26T21:04:57.6156358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6156880Z    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
2025-08-26T21:04:57.6157398Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6157853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6158279Z     layer_outputs = layer(
2025-08-26T21:04:57.6158682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6159112Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6159522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6159965Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6160406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-26T21:04:57.6160972Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-26T21:04:57.6161582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-26T21:04:57.6162069Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-26T21:04:57.6162235Z 
2025-08-26T21:04:57.6162344Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6162884Z    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
2025-08-26T21:04:57.6163414Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6163886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6164297Z     layer_outputs = layer(
2025-08-26T21:04:57.6164716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6165135Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6165550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6165998Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6166427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6166874Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6167322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-26T21:04:57.6167823Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.6168035Z 
2025-08-26T21:04:57.6168175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6168701Z    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
2025-08-26T21:04:57.6169216Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6169733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6170183Z     layer_outputs = layer(
2025-08-26T21:04:57.6170595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6171016Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6171448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6171896Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6172334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6172785Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6173245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-26T21:04:57.6173795Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6174368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6174893Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6175114Z 
2025-08-26T21:04:57.6175212Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6175324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6175690Z    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
2025-08-26T21:04:57.6175798Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6176088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6176170Z     layer_outputs = layer(
2025-08-26T21:04:57.6176458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6176537Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6176859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6176954Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6177245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6177351Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6177637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T21:04:57.6177758Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.6177762Z 
2025-08-26T21:04:57.6177871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6178237Z    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
2025-08-26T21:04:57.6178341Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6178617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6178686Z     layer_outputs = layer(
2025-08-26T21:04:57.6178977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6179051Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6179315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6179412Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6179701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6179807Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6180072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T21:04:57.6180184Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.6180187Z 
2025-08-26T21:04:57.6180274Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6180375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6180721Z    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
2025-08-26T21:04:57.6180831Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6181105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6181173Z     layer_outputs = layer(
2025-08-26T21:04:57.6181437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6181515Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6181783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6181879Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6182139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-26T21:04:57.6182344Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T21:04:57.6182661Z   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
2025-08-26T21:04:57.6182805Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T21:04:57.6182808Z 
2025-08-26T21:04:57.6182915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6183273Z    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
2025-08-26T21:04:57.6183370Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6183634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6183699Z     layer_outputs = layer(
2025-08-26T21:04:57.6183971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6184042Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6184313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T21:04:57.6184460Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T21:04:57.6184762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T21:04:57.6184848Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6184851Z 
2025-08-26T21:04:57.6184974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6185340Z    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
2025-08-26T21:04:57.6185434Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6185723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6185812Z     layer_outputs = layer(
2025-08-26T21:04:57.6186085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1601, in forward
2025-08-26T21:04:57.6186188Z     attn_output = prev_attn_output + attn_output
2025-08-26T21:04:57.6186192Z 
2025-08-26T21:04:57.6186295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6186661Z    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
2025-08-26T21:04:57.6186752Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6187037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6187142Z     layer_outputs = layer(
2025-08-26T21:04:57.6187418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6187557Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6187836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6187926Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6188209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6188292Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6188601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.6188688Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6188976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T21:04:57.6189061Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6189066Z 
2025-08-26T21:04:57.6189180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6189550Z    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
2025-08-26T21:04:57.6189671Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6189963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6190034Z     layer_outputs = layer(
2025-08-26T21:04:57.6190320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6190450Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6190738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6190820Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6191091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6191178Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6191490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.6191606Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6191894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T21:04:57.6191984Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T21:04:57.6191997Z 
2025-08-26T21:04:57.6192106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6192480Z    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
2025-08-26T21:04:57.6192669Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6192991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6193069Z     layer_outputs = layer(
2025-08-26T21:04:57.6193375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6193507Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6193804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6193913Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6194199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6194283Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6194589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T21:04:57.6194678Z     return self.output(hidden_states)
2025-08-26T21:04:57.6194968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T21:04:57.6195065Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6195070Z 
2025-08-26T21:04:57.6195184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6195524Z    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
2025-08-26T21:04:57.6195613Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6195899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6195984Z     layer_outputs = layer(
2025-08-26T21:04:57.6196272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6196407Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6196436Z 
2025-08-26T21:04:57.6196545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6196916Z    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
2025-08-26T21:04:57.6197013Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6197304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6197383Z     layer_outputs = layer(
2025-08-26T21:04:57.6197671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6197760Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6198050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6198151Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6198471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-26T21:04:57.6198561Z     query_vectors = self.query(hidden_states)
2025-08-26T21:04:57.6198565Z 
2025-08-26T21:04:57.6198679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6199040Z    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
2025-08-26T21:04:57.6199139Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6199442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6199513Z     layer_outputs = layer(
2025-08-26T21:04:57.6199807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6199883Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6200174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6200269Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6200561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-26T21:04:57.6200662Z     key_vectors = self.key(hidden_states)
2025-08-26T21:04:57.6200666Z 
2025-08-26T21:04:57.6200751Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6200844Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6200949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6201315Z    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
2025-08-26T21:04:57.6201410Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6201700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6201778Z     layer_outputs = layer(
2025-08-26T21:04:57.6202064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6202148Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6202431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6202527Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6202818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T21:04:57.6203011Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6203346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6203505Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6203510Z 
2025-08-26T21:04:57.6203600Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6203683Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6203790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6204161Z    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
2025-08-26T21:04:57.6204256Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6204554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6204623Z     layer_outputs = layer(
2025-08-26T21:04:57.6204908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6204996Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6205265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6205362Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6205638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T21:04:57.6205850Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6206159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.6206233Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.6206237Z 
2025-08-26T21:04:57.6206346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6206679Z    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
2025-08-26T21:04:57.6206775Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6207039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6207139Z     layer_outputs = layer(
2025-08-26T21:04:57.6207407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6207479Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6207755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6207844Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6208120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T21:04:57.6208277Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.6208280Z 
2025-08-26T21:04:57.6208388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6208726Z    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
2025-08-26T21:04:57.6208813Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6209093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6209163Z     layer_outputs = layer(
2025-08-26T21:04:57.6209470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6209547Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6209827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6209928Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6210208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T21:04:57.6210372Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.6210375Z 
2025-08-26T21:04:57.6210481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6210842Z    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
2025-08-26T21:04:57.6210933Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6211214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6211287Z     layer_outputs = layer(
2025-08-26T21:04:57.6211570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6211649Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6211919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6212005Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6212303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-26T21:04:57.6212386Z     value_vectors = self.value(hidden_states)
2025-08-26T21:04:57.6212390Z 
2025-08-26T21:04:57.6212475Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6212553Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6212658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6213001Z    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
2025-08-26T21:04:57.6213091Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6213377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6213470Z     layer_outputs = layer(
2025-08-26T21:04:57.6213754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6213830Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6214105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6214202Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6214644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-26T21:04:57.6214862Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6215168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6215329Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6215334Z 
2025-08-26T21:04:57.6215417Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6215496Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6215611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6216018Z    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
2025-08-26T21:04:57.6216120Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6216402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6216473Z     layer_outputs = layer(
2025-08-26T21:04:57.6216758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6216835Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6217121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6217212Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6217501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T21:04:57.6217622Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.6217626Z 
2025-08-26T21:04:57.6217730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6218118Z    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
2025-08-26T21:04:57.6218211Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6218500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6218569Z     layer_outputs = layer(
2025-08-26T21:04:57.6218887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6218961Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6219243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6219344Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6219631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T21:04:57.6219755Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.6219759Z 
2025-08-26T21:04:57.6219861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6220243Z    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
2025-08-26T21:04:57.6220343Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6220624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6220701Z     layer_outputs = layer(
2025-08-26T21:04:57.6220981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6221063Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6221341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6221431Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6221721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-26T21:04:57.6221941Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T21:04:57.6222280Z   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
2025-08-26T21:04:57.6222431Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T21:04:57.6222435Z 
2025-08-26T21:04:57.6222567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6222931Z    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
2025-08-26T21:04:57.6223027Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6223326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6223400Z     layer_outputs = layer(
2025-08-26T21:04:57.6223701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6223776Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6224058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T21:04:57.6224217Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T21:04:57.6224500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T21:04:57.6224613Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6224618Z 
2025-08-26T21:04:57.6224726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6225091Z    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
2025-08-26T21:04:57.6225184Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6225485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6225562Z     layer_outputs = layer(
2025-08-26T21:04:57.6225876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6226012Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6226331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6226416Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6226688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6226788Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6227093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.6227179Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6227465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T21:04:57.6227549Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6227553Z 
2025-08-26T21:04:57.6227659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6228017Z    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
2025-08-26T21:04:57.6228105Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6228389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6228462Z     layer_outputs = layer(
2025-08-26T21:04:57.6228755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6228887Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6229173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6229281Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6229566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6229652Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6229962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.6230049Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6230341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T21:04:57.6230430Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T21:04:57.6230434Z 
2025-08-26T21:04:57.6230547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6230923Z    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
2025-08-26T21:04:57.6231022Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6231344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6231419Z     layer_outputs = layer(
2025-08-26T21:04:57.6231718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6231848Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6232139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6232239Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6232513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6232663Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6232998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T21:04:57.6233087Z     return self.output(hidden_states)
2025-08-26T21:04:57.6233379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T21:04:57.6233500Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6233504Z 
2025-08-26T21:04:57.6233612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6233986Z    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
2025-08-26T21:04:57.6234090Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6234383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6234462Z     layer_outputs = layer(
2025-08-26T21:04:57.6234780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6234862Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6235140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6235237Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6235526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-26T21:04:57.6235624Z     query_key_vectors = self.query_key(hidden_states)
2025-08-26T21:04:57.6235627Z 
2025-08-26T21:04:57.6235740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6236114Z    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
2025-08-26T21:04:57.6236206Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6236492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6236562Z     layer_outputs = layer(
2025-08-26T21:04:57.6236846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6236921Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6237202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6237294Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6237569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.6237732Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.6238052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T21:04:57.6238259Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T21:04:57.6238263Z 
2025-08-26T21:04:57.6238368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6238726Z    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
2025-08-26T21:04:57.6238833Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6239108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6239186Z     layer_outputs = layer(
2025-08-26T21:04:57.6239465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6239548Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6239827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6239920Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6240230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.6240380Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.6240686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-26T21:04:57.6240845Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-26T21:04:57.6240849Z 
2025-08-26T21:04:57.6240962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6241319Z    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
2025-08-26T21:04:57.6241412Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6241702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6241774Z     layer_outputs = layer(
2025-08-26T21:04:57.6242064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6242141Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6242432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6242524Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6242879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.6243041Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.6243341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-26T21:04:57.6243497Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-26T21:04:57.6243501Z 
2025-08-26T21:04:57.6243606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6243961Z    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
2025-08-26T21:04:57.6244060Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6244343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6244420Z     layer_outputs = layer(
2025-08-26T21:04:57.6244719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6244801Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6245081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6245175Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6245462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T21:04:57.6245626Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T21:04:57.6245930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-26T21:04:57.6246033Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-26T21:04:57.6246037Z 
2025-08-26T21:04:57.6246154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6246510Z    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
2025-08-26T21:04:57.6246603Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6246907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6246977Z     layer_outputs = layer(
2025-08-26T21:04:57.6247269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6247344Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6247655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6247753Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6248033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.6248237Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.6248613Z   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
2025-08-26T21:04:57.6248730Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T21:04:57.6249032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-26T21:04:57.6249191Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-26T21:04:57.6249195Z 
2025-08-26T21:04:57.6249306Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6249416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6249787Z    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
2025-08-26T21:04:57.6249877Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6250170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6250239Z     layer_outputs = layer(
2025-08-26T21:04:57.6250519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6250603Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6250884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6250983Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6251279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T21:04:57.6251474Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T21:04:57.6251852Z   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
2025-08-26T21:04:57.6251961Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T21:04:57.6252286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-26T21:04:57.6252382Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-26T21:04:57.6252385Z 
2025-08-26T21:04:57.6252476Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6252559Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6252667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6253045Z    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
2025-08-26T21:04:57.6253135Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6253422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6253511Z     layer_outputs = layer(
2025-08-26T21:04:57.6253789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6253873Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6254150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6254249Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6254549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6254662Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6254939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T21:04:57.6255155Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6255468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6255620Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6255624Z 
2025-08-26T21:04:57.6255710Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6255790Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6255923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6256281Z    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
2025-08-26T21:04:57.6256372Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6256664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6256734Z     layer_outputs = layer(
2025-08-26T21:04:57.6257021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6257097Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6257378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6257479Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6257755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6257891Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6258171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T21:04:57.6258395Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6258693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.6258791Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.6258795Z 
2025-08-26T21:04:57.6258885Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6258992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6259353Z    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
2025-08-26T21:04:57.6259445Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6259725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6259823Z     layer_outputs = layer(
2025-08-26T21:04:57.6260103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6260186Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6260471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6260572Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6260853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-26T21:04:57.6260939Z     value_vectors = self.value(hidden_states)
2025-08-26T21:04:57.6260943Z 
2025-08-26T21:04:57.6261058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6261407Z    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
2025-08-26T21:04:57.6261502Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6261770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6261848Z     layer_outputs = layer(
2025-08-26T21:04:57.6262130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6262203Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6262538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6262633Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6262918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6263026Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6263313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T21:04:57.6263513Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6263823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6263986Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6263990Z 
2025-08-26T21:04:57.6264075Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6264203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6264573Z    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
2025-08-26T21:04:57.6264667Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6264960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6265030Z     layer_outputs = layer(
2025-08-26T21:04:57.6265330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6265406Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6265692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6265795Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6266081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6266197Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6266483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T21:04:57.6266739Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6267059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T21:04:57.6267144Z     return torch.cat(slices, dim=3)
2025-08-26T21:04:57.6267148Z 
2025-08-26T21:04:57.6267269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6267642Z    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
2025-08-26T21:04:57.6267750Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6268043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6268126Z     layer_outputs = layer(
2025-08-26T21:04:57.6268425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6268507Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6268811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6268909Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6269232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-26T21:04:57.6269454Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-26T21:04:57.6269795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-26T21:04:57.6269904Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-26T21:04:57.6269910Z 
2025-08-26T21:04:57.6270020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6270394Z    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
2025-08-26T21:04:57.6270490Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6270784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6270857Z     layer_outputs = layer(
2025-08-26T21:04:57.6271146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6271250Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6271540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6271642Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6271929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6272063Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6272345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-26T21:04:57.6272505Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T21:04:57.6272509Z 
2025-08-26T21:04:57.6272941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6273325Z    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
2025-08-26T21:04:57.6273428Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6273721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6273817Z     layer_outputs = layer(
2025-08-26T21:04:57.6274113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6274193Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6274485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6274579Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6274877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6274986Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6275270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-26T21:04:57.6275485Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T21:04:57.6275791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T21:04:57.6275955Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T21:04:57.6275960Z 
2025-08-26T21:04:57.6276045Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6276161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6276541Z    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
2025-08-26T21:04:57.6276638Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6276938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6277013Z     layer_outputs = layer(
2025-08-26T21:04:57.6277309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6277388Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6277681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6277785Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6278082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6278195Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6278528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T21:04:57.6278663Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.6278669Z 
2025-08-26T21:04:57.6278776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6279138Z    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
2025-08-26T21:04:57.6279264Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6279550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6279629Z     layer_outputs = layer(
2025-08-26T21:04:57.6279915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6279994Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6280286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6280379Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6280691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T21:04:57.6280794Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T21:04:57.6281074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T21:04:57.6281190Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T21:04:57.6281194Z 
2025-08-26T21:04:57.6281278Z cudagraph partition due to non gpu ops
2025-08-26T21:04:57.6281393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6281747Z    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
2025-08-26T21:04:57.6281847Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6282125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6282205Z     layer_outputs = layer(
2025-08-26T21:04:57.6282482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6282557Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6282842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T21:04:57.6282959Z     self_attention_outputs = self.self_attention(
2025-08-26T21:04:57.6283248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-26T21:04:57.6283468Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T21:04:57.6283796Z   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
2025-08-26T21:04:57.6283954Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T21:04:57.6283960Z 
2025-08-26T21:04:57.6284066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6284430Z    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
2025-08-26T21:04:57.6284523Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6284818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6284914Z     layer_outputs = layer(
2025-08-26T21:04:57.6285206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T21:04:57.6285293Z     attn_outputs = self.attention(
2025-08-26T21:04:57.6285586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T21:04:57.6285756Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T21:04:57.6286064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T21:04:57.6286148Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6286157Z 
2025-08-26T21:04:57.6286262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6286620Z    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
2025-08-26T21:04:57.6286718Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6287000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6287118Z     layer_outputs = layer(
2025-08-26T21:04:57.6287403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6287535Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6287827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6287903Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6288174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6288250Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6288544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.6288626Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6288899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T21:04:57.6288984Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6288989Z 
2025-08-26T21:04:57.6289089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6289436Z    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
2025-08-26T21:04:57.6289541Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6289805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6289877Z     layer_outputs = layer(
2025-08-26T21:04:57.6290147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6290281Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6290557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6290643Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6290919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6290994Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6291316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T21:04:57.6291422Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6291710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T21:04:57.6291797Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T21:04:57.6291802Z 
2025-08-26T21:04:57.6291913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6292283Z    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
2025-08-26T21:04:57.6292393Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6292678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6292746Z     layer_outputs = layer(
2025-08-26T21:04:57.6293049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6293177Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6293455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T21:04:57.6293560Z     return apply_chunking_to_forward(
2025-08-26T21:04:57.6293831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:04:57.6293917Z     return forward_fn(*input_tensors)
2025-08-26T21:04:57.6294215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T21:04:57.6294300Z     return self.output(hidden_states)
2025-08-26T21:04:57.6294599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T21:04:57.6294685Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:04:57.6294690Z 
2025-08-26T21:04:57.6294805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6295153Z    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
2025-08-26T21:04:57.6295253Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6295533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T21:04:57.6295605Z     layer_outputs = layer(
2025-08-26T21:04:57.6295889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T21:04:57.6296013Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T21:04:57.6296037Z 
2025-08-26T21:04:57.6296155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:04:57.6296516Z    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
2025-08-26T21:04:57.6296611Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T21:04:57.6296878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1753, in forward
2025-08-26T21:04:57.6296991Z     return torch.cat([attn_output, hidden_states], dim=-1)
2025-08-26T21:04:57.6296996Z 
2025-08-26T21:05:01.4897709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:01.4898517Z    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
2025-08-26T21:05:01.4899058Z     logits = self.lm_head(sequence_output)
2025-08-26T21:05:01.4899604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1886, in forward
2025-08-26T21:05:01.4900535Z     return apply_chunking_to_forward(self.forward_chunk, self.chunk_size_lm_head, self.seq_len_dim, hidden_states)
2025-08-26T21:05:01.4901140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:01.4901578Z     return forward_fn(*input_tensors)
2025-08-26T21:05:01.4902025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1889, in forward_chunk
2025-08-26T21:05:01.4902564Z     hidden_states = self.decoder(hidden_states)
2025-08-26T21:05:01.4902722Z 
2025-08-26T21:05:01.7325564Z Compilation time (from dynamo_timed): 21.057565847
2025-08-26T21:05:01.7330422Z pass
2025-08-26T21:05:01.7330871Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:05:01.7331758Z TIMING: gc:0.01347 entire_frame_compile:21.05757 _recursive_pre_grad_passes:0.01485 _recursive_joint_graph_passes:0.37099 _recursive_post_grad_passes:0.07707 async_compile.wait:3.21755 code_gen:6.76486 inductor_compile:8.99371 backend_compile:11.40351 total_wall_time:21.05757
2025-08-26T21:05:01.7332870Z STATS: call_* op count: 481 | FakeTensorMode.__torch_dispatch__:12345 | ProxyTorchDispatchMode.__torch_dispatch__:4316 | FakeTensor.__torch_dispatch__:3863 | attempt fast:1 | fast is_contiguous:1
2025-08-26T21:05:01.7333846Z Dynamo produced 7 graphs covering 481 ops with 8 graph breaks (4 unique)
2025-08-26T21:05:06.2014216Z 
2025-08-26T21:05:06.8975244Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:05:06.8979948Z 
2025-08-26T21:05:06.9015662Z config.json:   0% 0.00/615 [00:00<?, ?B/s]
2025-08-26T21:05:06.9016140Z config.json: 100% 615/615 [00:00<00:00, 145kB/s]
2025-08-26T21:05:12.3798346Z 
2025-08-26T21:05:12.3799161Z loading model: 0it [00:06, ?it/s]
2025-08-26T21:05:12.3817774Z cpu  eval  hf_Roberta_base                    
2025-08-26T21:05:15.7681613Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:05:17.3464911Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:05:18.9058339Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:05:35.4437123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4440665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4441133Z     return mod(**inputs)
2025-08-26T21:05:35.4441664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4442124Z     outputs = self.roberta(
2025-08-26T21:05:35.4442874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-26T21:05:35.4443366Z     embedding_output = self.embeddings(
2025-08-26T21:05:35.4443836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-26T21:05:35.4444467Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-26T21:05:35.4445177Z   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
2025-08-26T21:05:35.4445729Z     mask = input_ids.ne(padding_idx).int()
2025-08-26T21:05:35.4445888Z 
2025-08-26T21:05:35.4445988Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4446229Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4446449Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4446665Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4446886Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4447104Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4447406Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4447627Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4447844Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4448063Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4448276Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4448487Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4448739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4449194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4449569Z     return mod(**inputs)
2025-08-26T21:05:35.4450048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4450495Z     outputs = self.roberta(
2025-08-26T21:05:35.4450914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-26T21:05:35.4451355Z     embedding_output = self.embeddings(
2025-08-26T21:05:35.4451791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-26T21:05:35.4452405Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-26T21:05:35.4453056Z   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
2025-08-26T21:05:35.4453693Z     incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
2025-08-26T21:05:35.4453955Z 
2025-08-26T21:05:35.4454081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4454484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4454832Z     return mod(**inputs)
2025-08-26T21:05:35.4455266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4455726Z     outputs = self.roberta(
2025-08-26T21:05:35.4456156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-26T21:05:35.4456612Z     embedding_output = self.embeddings(
2025-08-26T21:05:35.4457056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-26T21:05:35.4457646Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-26T21:05:35.4458302Z   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
2025-08-26T21:05:35.4458957Z     incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
2025-08-26T21:05:35.4459221Z 
2025-08-26T21:05:35.4459345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4459732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4460115Z     return mod(**inputs)
2025-08-26T21:05:35.4460554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4461016Z     outputs = self.roberta(
2025-08-26T21:05:35.4461687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-26T21:05:35.4462140Z     embedding_output = self.embeddings(
2025-08-26T21:05:35.4462594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 119, in forward
2025-08-26T21:05:35.4463044Z     embeddings += position_embeddings
2025-08-26T21:05:35.4463214Z 
2025-08-26T21:05:35.4463338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4463723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4464079Z     return mod(**inputs)
2025-08-26T21:05:35.4464505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4464970Z     outputs = self.roberta(
2025-08-26T21:05:35.4465397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4465834Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4466276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4466807Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4467197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4467593Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4468042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4468517Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4468941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4469354Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4469802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4470237Z     self_outputs = self.self(
2025-08-26T21:05:35.4470639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4471035Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4471455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4472067Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4472372Z 
2025-08-26T21:05:35.4472479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4473200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4473546Z     return mod(**inputs)
2025-08-26T21:05:35.4473984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4474438Z     outputs = self.roberta(
2025-08-26T21:05:35.4475633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4476080Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4476501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4477106Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4477487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4477875Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4478314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4478754Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4479229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4479642Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4480101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4480536Z     self_outputs = self.self(
2025-08-26T21:05:35.4480926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4481319Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4481743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4482188Z     self.key(current_states)
2025-08-26T21:05:35.4482308Z 
2025-08-26T21:05:35.4482428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4482807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4483150Z     return mod(**inputs)
2025-08-26T21:05:35.4483583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4484039Z     outputs = self.roberta(
2025-08-26T21:05:35.4484463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4484920Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4485353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4485774Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4486140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4486526Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4486942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4487391Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4487792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4488182Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4488606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4489061Z     self_outputs = self.self(
2025-08-26T21:05:35.4489438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4489825Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4490245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4490731Z     self.value(current_states)
2025-08-26T21:05:35.4490858Z 
2025-08-26T21:05:35.4490944Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4491206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4491606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4491950Z     return mod(**inputs)
2025-08-26T21:05:35.4492357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4492791Z     outputs = self.roberta(
2025-08-26T21:05:35.4493205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4493642Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4494075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4494504Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4494873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4495276Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4495709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4496149Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4496543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4496961Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4497377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4497814Z     self_outputs = self.self(
2025-08-26T21:05:35.4498188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4498579Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4498998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4499493Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4499712Z 
2025-08-26T21:05:35.4499827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4500189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4500527Z     return mod(**inputs)
2025-08-26T21:05:35.4500935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4501355Z     outputs = self.roberta(
2025-08-26T21:05:35.4501762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4502180Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4502600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4503017Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4503383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4503752Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4504183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4504629Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4505035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4505419Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4505842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4506324Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4506801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4507239Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4507385Z 
2025-08-26T21:05:35.4507498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4507859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4508197Z     return mod(**inputs)
2025-08-26T21:05:35.4508613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4509045Z     outputs = self.roberta(
2025-08-26T21:05:35.4509455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4509912Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4510336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4510762Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4511136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4511517Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4512005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4512461Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4513009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4513462Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4513944Z   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
2025-08-26T21:05:35.4514690Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4515209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4515733Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4515887Z 
2025-08-26T21:05:35.4516007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4516413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4516769Z     return mod(**inputs)
2025-08-26T21:05:35.4517204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4517659Z     outputs = self.roberta(
2025-08-26T21:05:35.4518078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4518515Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4518960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4519403Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4519779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4520164Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4520609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4521088Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4521529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4521958Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4522418Z   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
2025-08-26T21:05:35.4522946Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4523435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4523923Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4524323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4524673Z     return self.act(input)
2025-08-26T21:05:35.4524801Z 
2025-08-26T21:05:35.4524913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4525287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4525654Z     return mod(**inputs)
2025-08-26T21:05:35.4526051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4526478Z     outputs = self.roberta(
2025-08-26T21:05:35.4526882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4527332Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4527751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4528171Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4528535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4528913Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4529343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4529779Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4530194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4530629Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4531096Z   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
2025-08-26T21:05:35.4531631Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4532137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4532587Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4532742Z 
2025-08-26T21:05:35.4532854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4533240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4533584Z     return mod(**inputs)
2025-08-26T21:05:35.4533989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4534424Z     outputs = self.roberta(
2025-08-26T21:05:35.4534837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4535282Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4535730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4536194Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4536583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4536966Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4537395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4537833Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4538231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4538624Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4539037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4539474Z     self_outputs = self.self(
2025-08-26T21:05:35.4539859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4540261Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4540705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4541298Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4541583Z 
2025-08-26T21:05:35.4541700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4542071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4542439Z     return mod(**inputs)
2025-08-26T21:05:35.4542853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4543288Z     outputs = self.roberta(
2025-08-26T21:05:35.4543712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4544153Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4544605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4545034Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4545410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4545836Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4546288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4546742Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4547164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4547579Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4547998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4548447Z     self_outputs = self.self(
2025-08-26T21:05:35.4548848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4549257Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4549681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4550121Z     self.key(current_states)
2025-08-26T21:05:35.4550251Z 
2025-08-26T21:05:35.4550364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4550757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4551107Z     return mod(**inputs)
2025-08-26T21:05:35.4551546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4551986Z     outputs = self.roberta(
2025-08-26T21:05:35.4552405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4552951Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4553400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4553843Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4554224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4554618Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4555065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4555533Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4555963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4556365Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4556797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4557237Z     self_outputs = self.self(
2025-08-26T21:05:35.4557614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4558033Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4558468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4558913Z     self.value(current_states)
2025-08-26T21:05:35.4559039Z 
2025-08-26T21:05:35.4559134Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4559385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4559773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4560122Z     return mod(**inputs)
2025-08-26T21:05:35.4560540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4560994Z     outputs = self.roberta(
2025-08-26T21:05:35.4561402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4561840Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4562266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4562686Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4563041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4563415Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4563843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4564276Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4564671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4565051Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4565476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4565906Z     self_outputs = self.self(
2025-08-26T21:05:35.4566292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4566709Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4567137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4567631Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4567835Z 
2025-08-26T21:05:35.4567943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4568327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4568667Z     return mod(**inputs)
2025-08-26T21:05:35.4569084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4569524Z     outputs = self.roberta(
2025-08-26T21:05:35.4569948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4570388Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4570824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4571269Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4571632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4572008Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4572442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4572884Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4573283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4573678Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4574088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4574565Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4575071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4575517Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4575688Z 
2025-08-26T21:05:35.4575807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4576195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4576536Z     return mod(**inputs)
2025-08-26T21:05:35.4576966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4577407Z     outputs = self.roberta(
2025-08-26T21:05:35.4577826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4578271Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4578711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4579136Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4579510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4579901Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4580345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4580795Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4581232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4581705Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4582178Z   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
2025-08-26T21:05:35.4582696Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4583183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4583632Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4583779Z 
2025-08-26T21:05:35.4583897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4584288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4584630Z     return mod(**inputs)
2025-08-26T21:05:35.4585052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4585493Z     outputs = self.roberta(
2025-08-26T21:05:35.4585913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4586377Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4586808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4587249Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4587631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4588035Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4588465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4588911Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4589346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4589769Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4590237Z   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
2025-08-26T21:05:35.4590741Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4591258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4591726Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4592145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4592514Z     return self.act(input)
2025-08-26T21:05:35.4592721Z 
2025-08-26T21:05:35.4592843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4593247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4593596Z     return mod(**inputs)
2025-08-26T21:05:35.4594034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4594464Z     outputs = self.roberta(
2025-08-26T21:05:35.4594865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4595290Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4595711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4596136Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4596493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4596873Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4597348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4597786Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4598209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4598615Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4599069Z   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
2025-08-26T21:05:35.4599585Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4600069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4600513Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4600657Z 
2025-08-26T21:05:35.4600768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4601162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4601503Z     return mod(**inputs)
2025-08-26T21:05:35.4601914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4602344Z     outputs = self.roberta(
2025-08-26T21:05:35.4602743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4603201Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4603622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4604042Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4604379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4604740Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4605146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4605580Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4605984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4606385Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4606787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4607185Z     self_outputs = self.self(
2025-08-26T21:05:35.4607541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4607908Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4608292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4608837Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4609105Z 
2025-08-26T21:05:35.4609207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4609563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4609881Z     return mod(**inputs)
2025-08-26T21:05:35.4610254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4610656Z     outputs = self.roberta(
2025-08-26T21:05:35.4611037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4611473Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4611887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4612311Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4612673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4613152Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4613581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4613999Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4614618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4615031Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4615465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4615901Z     self_outputs = self.self(
2025-08-26T21:05:35.4616316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4616698Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4617123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4617534Z     self.key(current_states)
2025-08-26T21:05:35.4617649Z 
2025-08-26T21:05:35.4617754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4618153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4618490Z     return mod(**inputs)
2025-08-26T21:05:35.4618910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4619341Z     outputs = self.roberta(
2025-08-26T21:05:35.4619728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4620138Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4620564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4621005Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4621351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4621727Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4622154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4622658Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4623061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4623450Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4623868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4624263Z     self_outputs = self.self(
2025-08-26T21:05:35.4624622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4624989Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4625389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4625818Z     self.value(current_states)
2025-08-26T21:05:35.4625941Z 
2025-08-26T21:05:35.4626021Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4626259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4626632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4626956Z     return mod(**inputs)
2025-08-26T21:05:35.4627362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4627789Z     outputs = self.roberta(
2025-08-26T21:05:35.4628196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4628614Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4629035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4629458Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4629820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4630199Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4630634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4631071Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4631471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4631861Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4632266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4632781Z     self_outputs = self.self(
2025-08-26T21:05:35.4633177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4633575Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4633997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4634495Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4634698Z 
2025-08-26T21:05:35.4634804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4635181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4635548Z     return mod(**inputs)
2025-08-26T21:05:35.4635963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4636391Z     outputs = self.roberta(
2025-08-26T21:05:35.4636804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4637235Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4637664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4638087Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4638459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4638845Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4639280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4639725Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4640126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4640526Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4640953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4641475Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4641957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4642383Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4642534Z 
2025-08-26T21:05:35.4642641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4643019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4643354Z     return mod(**inputs)
2025-08-26T21:05:35.4643747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4644174Z     outputs = self.roberta(
2025-08-26T21:05:35.4644573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4644997Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4645433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4645849Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4646220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4646608Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4647053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4647519Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4647940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4648354Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4648810Z   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
2025-08-26T21:05:35.4649316Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4649790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4650213Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4650399Z 
2025-08-26T21:05:35.4650508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4650884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4651235Z     return mod(**inputs)
2025-08-26T21:05:35.4651644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4652080Z     outputs = self.roberta(
2025-08-26T21:05:35.4652512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4652935Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4653357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4653773Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4654137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4654519Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4654946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4655383Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4655802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4656239Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4656696Z   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
2025-08-26T21:05:35.4657195Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4657677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4658135Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4658532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4658890Z     return self.act(input)
2025-08-26T21:05:35.4659005Z 
2025-08-26T21:05:35.4659118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4659486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4659823Z     return mod(**inputs)
2025-08-26T21:05:35.4660273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4660698Z     outputs = self.roberta(
2025-08-26T21:05:35.4661112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4661535Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4661953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4662394Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4662757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4663138Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4663576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4664010Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4664438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4664853Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4665312Z   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
2025-08-26T21:05:35.4665867Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4666355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4666790Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4666937Z 
2025-08-26T21:05:35.4667058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4667450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4667806Z     return mod(**inputs)
2025-08-26T21:05:35.4668223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4668663Z     outputs = self.roberta(
2025-08-26T21:05:35.4669084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4669514Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4669947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4670386Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4670762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4671173Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4671610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4672061Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4672478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4672967Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4673403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4673845Z     self_outputs = self.self(
2025-08-26T21:05:35.4674242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4674644Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4675069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4675685Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4675979Z 
2025-08-26T21:05:35.4676090Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4676471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4676819Z     return mod(**inputs)
2025-08-26T21:05:35.4677245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4677696Z     outputs = self.roberta(
2025-08-26T21:05:35.4678109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4678542Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4678979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4679418Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4679785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4680179Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4680667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4681132Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4681548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4681971Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4682415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4682858Z     self_outputs = self.self(
2025-08-26T21:05:35.4683247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4683640Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4684072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4684502Z     self.key(current_states)
2025-08-26T21:05:35.4684624Z 
2025-08-26T21:05:35.4684742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4685130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4685474Z     return mod(**inputs)
2025-08-26T21:05:35.4685896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4686336Z     outputs = self.roberta(
2025-08-26T21:05:35.4686765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4687187Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4687612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4688041Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4688416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4688801Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4689233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4689672Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4690084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4690479Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4690913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4691335Z     self_outputs = self.self(
2025-08-26T21:05:35.4691706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4692093Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4692503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4692944Z     self.value(current_states)
2025-08-26T21:05:35.4693072Z 
2025-08-26T21:05:35.4693155Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4693407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4693785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4694120Z     return mod(**inputs)
2025-08-26T21:05:35.4694519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4694948Z     outputs = self.roberta(
2025-08-26T21:05:35.4695355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4695806Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4696212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4696635Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4696997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4697374Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4697809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4698247Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4698645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4699040Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4699451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4699878Z     self_outputs = self.self(
2025-08-26T21:05:35.4700250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4700631Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4701041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4701557Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4701752Z 
2025-08-26T21:05:35.4701862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4702240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4702582Z     return mod(**inputs)
2025-08-26T21:05:35.4702988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4703425Z     outputs = self.roberta(
2025-08-26T21:05:35.4703827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4704249Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4704650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4705082Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4705468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4705847Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4706277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4706716Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4707117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4707514Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4707923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4708405Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4708889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4709321Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4709467Z 
2025-08-26T21:05:35.4709575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4709952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4710314Z     return mod(**inputs)
2025-08-26T21:05:35.4710721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4711145Z     outputs = self.roberta(
2025-08-26T21:05:35.4711543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4711966Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4712391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4712924Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4713316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4713703Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4714146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4714726Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4715175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4715584Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4716046Z   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
2025-08-26T21:05:35.4716626Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4717110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4717540Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4717685Z 
2025-08-26T21:05:35.4717793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4718176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4718520Z     return mod(**inputs)
2025-08-26T21:05:35.4718918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4719320Z     outputs = self.roberta(
2025-08-26T21:05:35.4719696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4720105Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4720547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4720974Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4721331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4721709Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4722134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4722593Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4723011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4723421Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4723878Z   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
2025-08-26T21:05:35.4724383Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4724853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4725316Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4725747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4726103Z     return self.act(input)
2025-08-26T21:05:35.4726229Z 
2025-08-26T21:05:35.4726337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4726711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4727051Z     return mod(**inputs)
2025-08-26T21:05:35.4727452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4727880Z     outputs = self.roberta(
2025-08-26T21:05:35.4728291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4728720Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4729134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4729558Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4729923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4730305Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4730730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4731181Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4731605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4732014Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4732464Z   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
2025-08-26T21:05:35.4732975Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4733444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4733873Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4734022Z 
2025-08-26T21:05:35.4734129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4734505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4734838Z     return mod(**inputs)
2025-08-26T21:05:35.4735252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4735670Z     outputs = self.roberta(
2025-08-26T21:05:35.4736073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4736474Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4736859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4737275Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4737618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4737979Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4738383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4738793Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4739196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4739590Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4740026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4740457Z     self_outputs = self.self(
2025-08-26T21:05:35.4740839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4741226Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4741617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4742174Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4742456Z 
2025-08-26T21:05:35.4742574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4742943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4743282Z     return mod(**inputs)
2025-08-26T21:05:35.4743689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4744124Z     outputs = self.roberta(
2025-08-26T21:05:35.4744533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4744935Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4745360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4745774Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4746125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4746481Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4746897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4747321Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4747727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4748123Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4748543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4748971Z     self_outputs = self.self(
2025-08-26T21:05:35.4749362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4749758Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4750189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4750622Z     self.key(current_states)
2025-08-26T21:05:35.4750750Z 
2025-08-26T21:05:35.4750858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4751235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4751601Z     return mod(**inputs)
2025-08-26T21:05:35.4752004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4752437Z     outputs = self.roberta(
2025-08-26T21:05:35.4752949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4753410Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4753849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4754293Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4754666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4755076Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4755508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4755946Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4756355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4756749Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4757162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4757597Z     self_outputs = self.self(
2025-08-26T21:05:35.4757979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4758378Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4758793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4759229Z     self.value(current_states)
2025-08-26T21:05:35.4759354Z 
2025-08-26T21:05:35.4759447Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4759697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4760074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4760412Z     return mod(**inputs)
2025-08-26T21:05:35.4760852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4761280Z     outputs = self.roberta(
2025-08-26T21:05:35.4761686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4762108Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4762527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4762954Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4763320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4763710Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4764165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4764627Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4765051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4765454Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4765878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4766314Z     self_outputs = self.self(
2025-08-26T21:05:35.4766702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4767099Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4767508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4768001Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4768196Z 
2025-08-26T21:05:35.4768311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4768689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4769020Z     return mod(**inputs)
2025-08-26T21:05:35.4769424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4769878Z     outputs = self.roberta(
2025-08-26T21:05:35.4770288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4770713Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4771139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4771573Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4771943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4772329Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4772758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4773201Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4773617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4774031Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4774465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4774964Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4775493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4775933Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4776080Z 
2025-08-26T21:05:35.4776199Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4776577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4776911Z     return mod(**inputs)
2025-08-26T21:05:35.4777317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4777742Z     outputs = self.roberta(
2025-08-26T21:05:35.4778151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4778563Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4778984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4779412Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4779794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4780171Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4780591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4781031Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4781480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4781911Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4782361Z   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
2025-08-26T21:05:35.4782858Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4783342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4783797Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4783941Z 
2025-08-26T21:05:35.4784056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4784431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4784786Z     return mod(**inputs)
2025-08-26T21:05:35.4785193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4785617Z     outputs = self.roberta(
2025-08-26T21:05:35.4786021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4786438Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4786853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4787281Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4787640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4788013Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4788436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4788870Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4789294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4789838Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4790329Z   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
2025-08-26T21:05:35.4790840Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4791329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4791813Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4792226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4792661Z     return self.act(input)
2025-08-26T21:05:35.4792799Z 
2025-08-26T21:05:35.4792913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4793312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4793665Z     return mod(**inputs)
2025-08-26T21:05:35.4794091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4794510Z     outputs = self.roberta(
2025-08-26T21:05:35.4794942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4795373Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4795796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4796224Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4796583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4796978Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4797414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4797869Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4798281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4798690Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4799142Z   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
2025-08-26T21:05:35.4799654Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4800157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4800587Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4800740Z 
2025-08-26T21:05:35.4800851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4801235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4801572Z     return mod(**inputs)
2025-08-26T21:05:35.4801987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4802415Z     outputs = self.roberta(
2025-08-26T21:05:35.4802821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4803255Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4803680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4804151Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4804508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4804886Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4805345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4805791Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4806189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4806579Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4807002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4807436Z     self_outputs = self.self(
2025-08-26T21:05:35.4807823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4808214Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4808640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4809313Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4809614Z 
2025-08-26T21:05:35.4809731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4810135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4810481Z     return mod(**inputs)
2025-08-26T21:05:35.4810900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4811336Z     outputs = self.roberta(
2025-08-26T21:05:35.4811757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4812213Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4812637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4813072Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4813450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4813847Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4814278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4814907Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4815418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4815820Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4816247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4816678Z     self_outputs = self.self(
2025-08-26T21:05:35.4817073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4817472Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4817904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4818345Z     self.key(current_states)
2025-08-26T21:05:35.4818468Z 
2025-08-26T21:05:35.4818578Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4818965Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4819311Z     return mod(**inputs)
2025-08-26T21:05:35.4819713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4820094Z     outputs = self.roberta(
2025-08-26T21:05:35.4820467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4820886Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4821271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4821656Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4821985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4822331Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4822718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4823119Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4823486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4823837Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4824223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4824617Z     self_outputs = self.self(
2025-08-26T21:05:35.4824999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4825357Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4825734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4826125Z     self.value(current_states)
2025-08-26T21:05:35.4826239Z 
2025-08-26T21:05:35.4826554Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4826824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4827164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4827476Z     return mod(**inputs)
2025-08-26T21:05:35.4827849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4828238Z     outputs = self.roberta(
2025-08-26T21:05:35.4828609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4829003Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4829399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4829817Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4830162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4830514Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4830916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4831328Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4831715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4832103Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4832508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4832997Z     self_outputs = self.self(
2025-08-26T21:05:35.4833383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4833785Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4834177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4834647Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4834840Z 
2025-08-26T21:05:35.4834966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4835344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4869475Z     return mod(**inputs)
2025-08-26T21:05:35.4870009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4870574Z     outputs = self.roberta(
2025-08-26T21:05:35.4871094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4871548Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4872001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4872438Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4872924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4873368Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4873925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4874397Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4874813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4875227Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4875660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4876213Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4876694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4877127Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4877289Z 
2025-08-26T21:05:35.4877407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4877836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4878193Z     return mod(**inputs)
2025-08-26T21:05:35.4878610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4879086Z     outputs = self.roberta(
2025-08-26T21:05:35.4879505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4879943Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4880375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4880791Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4881156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4881535Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4881962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4882397Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4882816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4883235Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4883694Z   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
2025-08-26T21:05:35.4884200Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4884705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4885136Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4885290Z 
2025-08-26T21:05:35.4885408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4885799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4886151Z     return mod(**inputs)
2025-08-26T21:05:35.4886564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4887001Z     outputs = self.roberta(
2025-08-26T21:05:35.4887417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4887852Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4888286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4888712Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4889108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4889492Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4889922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4890359Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4890774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4891211Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4891667Z   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
2025-08-26T21:05:35.4892176Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4892650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4893105Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4893505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4893885Z     return self.act(input)
2025-08-26T21:05:35.4894003Z 
2025-08-26T21:05:35.4894122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4894498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4894844Z     return mod(**inputs)
2025-08-26T21:05:35.4895253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4895676Z     outputs = self.roberta(
2025-08-26T21:05:35.4896081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4896500Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4896921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4897344Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4897710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4898083Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4898504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4898598Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4898890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4898984Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4899313Z   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
2025-08-26T21:05:35.4899460Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4899762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4899851Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4899855Z 
2025-08-26T21:05:35.4899979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4900196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4900274Z     return mod(**inputs)
2025-08-26T21:05:35.4900573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4900648Z     outputs = self.roberta(
2025-08-26T21:05:35.4900964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4901044Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4901342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4901420Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4901660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4901772Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4902062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4902160Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4902428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4902507Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4902806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4902883Z     self_outputs = self.self(
2025-08-26T21:05:35.4903185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4903258Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4903564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4903795Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4903800Z 
2025-08-26T21:05:35.4903915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4904139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4904212Z     return mod(**inputs)
2025-08-26T21:05:35.4904515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4904591Z     outputs = self.roberta(
2025-08-26T21:05:35.4904882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4904970Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4905261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4905347Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4905600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4905694Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4906000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4906089Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4906360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4906435Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4906739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4906818Z     self_outputs = self.self(
2025-08-26T21:05:35.4907076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4907155Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4907461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4907561Z     self.key(current_states)
2025-08-26T21:05:35.4907565Z 
2025-08-26T21:05:35.4907679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4907899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4907973Z     return mod(**inputs)
2025-08-26T21:05:35.4908269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4908372Z     outputs = self.roberta(
2025-08-26T21:05:35.4908660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4908743Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4909049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4909125Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4909371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4909454Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4909754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4909863Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4910121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4910204Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4910494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4910579Z     self_outputs = self.self(
2025-08-26T21:05:35.4910835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4910917Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4911208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4911287Z     self.value(current_states)
2025-08-26T21:05:35.4911291Z 
2025-08-26T21:05:35.4911389Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4911501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4911720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4911791Z     return mod(**inputs)
2025-08-26T21:05:35.4912085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4912185Z     outputs = self.roberta(
2025-08-26T21:05:35.4912479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4912566Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4912936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4913028Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4913269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4913354Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4913653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4913741Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4914008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4914081Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4914394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4914619Z     self_outputs = self.self(
2025-08-26T21:05:35.4914885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4914972Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4915270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4915485Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4915498Z 
2025-08-26T21:05:35.4915607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4915820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4915898Z     return mod(**inputs)
2025-08-26T21:05:35.4916209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4916286Z     outputs = self.roberta(
2025-08-26T21:05:35.4916586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4916707Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4917024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4917102Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4917359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4917443Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4917745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4917844Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4918101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4918181Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4918488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4918639Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4918943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4919033Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4919037Z 
2025-08-26T21:05:35.4919181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4919403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4919482Z     return mod(**inputs)
2025-08-26T21:05:35.4919780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4919849Z     outputs = self.roberta(
2025-08-26T21:05:35.4920155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4920230Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4920531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4920606Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4920852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4920934Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4921257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4921353Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4921627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4921721Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4922038Z   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
2025-08-26T21:05:35.4922183Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4922480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4922565Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4922569Z 
2025-08-26T21:05:35.4922682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4922889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4922966Z     return mod(**inputs)
2025-08-26T21:05:35.4923261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4923367Z     outputs = self.roberta(
2025-08-26T21:05:35.4923660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4923737Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4924035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4924107Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4924338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4924430Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4924730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4924824Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4925112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4925204Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4925521Z   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
2025-08-26T21:05:35.4925646Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4925963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4926082Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4926319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4926393Z     return self.act(input)
2025-08-26T21:05:35.4926397Z 
2025-08-26T21:05:35.4926508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4926729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4926802Z     return mod(**inputs)
2025-08-26T21:05:35.4927100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4927172Z     outputs = self.roberta(
2025-08-26T21:05:35.4927467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4927543Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4927844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4927930Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4928158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4928250Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4928532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4928647Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4928926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4929006Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4929333Z   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
2025-08-26T21:05:35.4929477Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4929766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4929870Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4929874Z 
2025-08-26T21:05:35.4929981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4930196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4930264Z     return mod(**inputs)
2025-08-26T21:05:35.4930558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4930626Z     outputs = self.roberta(
2025-08-26T21:05:35.4930928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4931015Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4931296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4931378Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4931613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4931692Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4931982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4932068Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4932347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4932422Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4932722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4932796Z     self_outputs = self.self(
2025-08-26T21:05:35.4933047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4933128Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4933413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4933646Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4933650Z 
2025-08-26T21:05:35.4933758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4933973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4934043Z     return mod(**inputs)
2025-08-26T21:05:35.4934349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4934429Z     outputs = self.roberta(
2025-08-26T21:05:35.4934709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4934791Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4935074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4935166Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4935410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4935492Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4935787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4935877Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4936132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4936231Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4936513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4936594Z     self_outputs = self.self(
2025-08-26T21:05:35.4936842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4936920Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4937206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4937281Z     self.key(current_states)
2025-08-26T21:05:35.4937285Z 
2025-08-26T21:05:35.4937405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4937611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4937687Z     return mod(**inputs)
2025-08-26T21:05:35.4937976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4938047Z     outputs = self.roberta(
2025-08-26T21:05:35.4938343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4938417Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4938707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4938817Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4939055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4939137Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4939423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4939528Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4939775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4939848Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4940137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4940205Z     self_outputs = self.self(
2025-08-26T21:05:35.4940465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4940533Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4940848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4940928Z     self.value(current_states)
2025-08-26T21:05:35.4940932Z 
2025-08-26T21:05:35.4941017Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4941125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4941328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4941415Z     return mod(**inputs)
2025-08-26T21:05:35.4941717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4941785Z     outputs = self.roberta(
2025-08-26T21:05:35.4942082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4942157Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4942457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4942531Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4942785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4942869Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4943157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4943244Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4943496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4943566Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4943860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4943930Z     self_outputs = self.self(
2025-08-26T21:05:35.4944187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4944261Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4944549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4944698Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4944702Z 
2025-08-26T21:05:35.4944810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4945023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4945091Z     return mod(**inputs)
2025-08-26T21:05:35.4945407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4945482Z     outputs = self.roberta(
2025-08-26T21:05:35.4945773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4945860Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4946152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4946234Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4946470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4946552Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4946851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4946938Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4947218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4947294Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4947596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4947738Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4948031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4948148Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4948152Z 
2025-08-26T21:05:35.4951313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4951536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4951616Z     return mod(**inputs)
2025-08-26T21:05:35.4951924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4952008Z     outputs = self.roberta(
2025-08-26T21:05:35.4952303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4952388Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4952821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4952913Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4953165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4953282Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4953578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4953679Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4953966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4954059Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4954391Z   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
2025-08-26T21:05:35.4954530Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4954823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4954913Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4954918Z 
2025-08-26T21:05:35.4955074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4955289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4955367Z     return mod(**inputs)
2025-08-26T21:05:35.4955663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4955736Z     outputs = self.roberta(
2025-08-26T21:05:35.4956033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4956110Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4956417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4956490Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4956732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4956812Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4957124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4957221Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4957491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4957578Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4957890Z   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
2025-08-26T21:05:35.4958029Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4958308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4958508Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4958743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4958817Z     return self.act(input)
2025-08-26T21:05:35.4958821Z 
2025-08-26T21:05:35.4958937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4959152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4959220Z     return mod(**inputs)
2025-08-26T21:05:35.4959528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4959602Z     outputs = self.roberta(
2025-08-26T21:05:35.4959902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4959980Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4960285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4960368Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4960601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4960688Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4960971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4961064Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4961338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4961416Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4961765Z   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
2025-08-26T21:05:35.4961905Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4962194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4962278Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4962282Z 
2025-08-26T21:05:35.4962396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4962600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4962669Z     return mod(**inputs)
2025-08-26T21:05:35.4962958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4963029Z     outputs = self.roberta(
2025-08-26T21:05:35.4963316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4963391Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4963686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4963770Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4964005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4964092Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4964374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4964479Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4964737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4964849Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4965145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4965218Z     self_outputs = self.self(
2025-08-26T21:05:35.4965482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4965556Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4965844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4966072Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4966076Z 
2025-08-26T21:05:35.4966183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4966399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4966469Z     return mod(**inputs)
2025-08-26T21:05:35.4966765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4966842Z     outputs = self.roberta(
2025-08-26T21:05:35.4967129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4967210Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4967500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4967582Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4967816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4967895Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4968220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4968307Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4968568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4968640Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4968926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4969006Z     self_outputs = self.self(
2025-08-26T21:05:35.4969258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4969338Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4969622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.4969697Z     self.key(current_states)
2025-08-26T21:05:35.4969710Z 
2025-08-26T21:05:35.4969817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4970041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4970122Z     return mod(**inputs)
2025-08-26T21:05:35.4970407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4970484Z     outputs = self.roberta(
2025-08-26T21:05:35.4970780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4970874Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4971164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4971258Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4971498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4971578Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4971861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4971952Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4972202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4972278Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4972563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4972641Z     self_outputs = self.self(
2025-08-26T21:05:35.4972892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4972964Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4973263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.4973339Z     self.value(current_states)
2025-08-26T21:05:35.4973342Z 
2025-08-26T21:05:35.4973436Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.4973546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4973762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4973839Z     return mod(**inputs)
2025-08-26T21:05:35.4974125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4974200Z     outputs = self.roberta(
2025-08-26T21:05:35.4974480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4974574Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4974868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4974941Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4975177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4975257Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4975543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4975628Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4975875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4975956Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4976236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4976314Z     self_outputs = self.self(
2025-08-26T21:05:35.4976581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4976655Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4976947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.4977090Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.4977118Z 
2025-08-26T21:05:35.4977235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4977436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4977531Z     return mod(**inputs)
2025-08-26T21:05:35.4977819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4977889Z     outputs = self.roberta(
2025-08-26T21:05:35.4978180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4978255Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4978541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4978613Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4978840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4978928Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4979210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4979305Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4979558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4979629Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4979916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.4980051Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.4980337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.4980423Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4980427Z 
2025-08-26T21:05:35.4980539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4980741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4980810Z     return mod(**inputs)
2025-08-26T21:05:35.4981134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4981209Z     outputs = self.roberta(
2025-08-26T21:05:35.4981511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4981586Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4981875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4981957Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4982194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4982282Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4982576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4982670Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4982971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4983064Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4983387Z   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
2025-08-26T21:05:35.4983511Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4983816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.4983902Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4983906Z 
2025-08-26T21:05:35.4985089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4985307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4985377Z     return mod(**inputs)
2025-08-26T21:05:35.4985682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4985753Z     outputs = self.roberta(
2025-08-26T21:05:35.4986045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4986121Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4986404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4986491Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4986719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4986813Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4987095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4987182Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4987462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4987542Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4987866Z   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
2025-08-26T21:05:35.4987992Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.4988281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.4988398Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.4988644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.4988730Z     return self.act(input)
2025-08-26T21:05:35.4988735Z 
2025-08-26T21:05:35.4988845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4989066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4989136Z     return mod(**inputs)
2025-08-26T21:05:35.4989442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4989526Z     outputs = self.roberta(
2025-08-26T21:05:35.4989826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4989909Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4990212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4990296Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4990558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4990643Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4990938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.4991025Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.4991310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.4991414Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.4991737Z   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
2025-08-26T21:05:35.4991915Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.4992206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.4992303Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.4992307Z 
2025-08-26T21:05:35.4992416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4992727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4992807Z     return mod(**inputs)
2025-08-26T21:05:35.4993103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4993190Z     outputs = self.roberta(
2025-08-26T21:05:35.4993483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4993574Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4993867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4993943Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4994187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4994271Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4994576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4994668Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4994941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4995020Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4995337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4995425Z     self_outputs = self.self(
2025-08-26T21:05:35.4995689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4995770Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4996060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.4996282Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.4996295Z 
2025-08-26T21:05:35.4996403Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.4996617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.4996697Z     return mod(**inputs)
2025-08-26T21:05:35.4996996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.4997073Z     outputs = self.roberta(
2025-08-26T21:05:35.4997387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.4997466Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.4997759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.4997832Z     layer_outputs = layer_module(
2025-08-26T21:05:35.4998090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.4998173Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.4998460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.4998581Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.4998846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4998930Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4999224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.4999309Z     self_outputs = self.self(
2025-08-26T21:05:35.4999570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.4999649Z     return func(*args, **kwargs)
2025-08-26T21:05:35.4999951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.5000030Z     self.key(current_states)
2025-08-26T21:05:35.5000036Z 
2025-08-26T21:05:35.5000158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5000373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5000449Z     return mod(**inputs)
2025-08-26T21:05:35.5000755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5000831Z     outputs = self.roberta(
2025-08-26T21:05:35.5001137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5001219Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5001517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5001606Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5001847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5001963Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5002253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5002348Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5002603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5002674Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5002970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5003044Z     self_outputs = self.self(
2025-08-26T21:05:35.5003309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5003383Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5003672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.5003756Z     self.value(current_states)
2025-08-26T21:05:35.5003783Z 
2025-08-26T21:05:35.5003873Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.5003993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5004203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5004273Z     return mod(**inputs)
2025-08-26T21:05:35.5004579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5004671Z     outputs = self.roberta(
2025-08-26T21:05:35.5004967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5005074Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5005375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5005453Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5005691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5005782Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5006075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5006167Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5006427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5006499Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5006799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5006876Z     self_outputs = self.self(
2025-08-26T21:05:35.5007144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5007216Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5007517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.5007663Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.5007668Z 
2025-08-26T21:05:35.5007777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5008008Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5008078Z     return mod(**inputs)
2025-08-26T21:05:35.5008385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5008483Z     outputs = self.roberta(
2025-08-26T21:05:35.5008769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5008854Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5009136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5009209Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5009445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5009527Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5009816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5009900Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5010159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5010231Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5010533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.5010679Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.5010961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.5011055Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5011075Z 
2025-08-26T21:05:35.5011182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5011385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5011479Z     return mod(**inputs)
2025-08-26T21:05:35.5011774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5011852Z     outputs = self.roberta(
2025-08-26T21:05:35.5012144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5012226Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5012521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5012597Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5012846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5012928Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5013233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5013323Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5013607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5013699Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5014031Z   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
2025-08-26T21:05:35.5014163Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.5014652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.5014771Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5014775Z 
2025-08-26T21:05:35.5014881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5015089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5015220Z     return mod(**inputs)
2025-08-26T21:05:35.5015509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5015594Z     outputs = self.roberta(
2025-08-26T21:05:35.5015878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5015956Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5016251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5016330Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5016568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5016652Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5016948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5017036Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5017340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5017435Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5017756Z   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
2025-08-26T21:05:35.5017892Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.5018201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.5018319Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.5018583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.5018656Z     return self.act(input)
2025-08-26T21:05:35.5018660Z 
2025-08-26T21:05:35.5018777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5018983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5019059Z     return mod(**inputs)
2025-08-26T21:05:35.5019345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5019416Z     outputs = self.roberta(
2025-08-26T21:05:35.5019708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5019789Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5020079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5020157Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5020385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5020476Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5020757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5020857Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5021125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5021214Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5021527Z   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
2025-08-26T21:05:35.5021668Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.5021981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.5022068Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5022072Z 
2025-08-26T21:05:35.5022186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5022391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5022459Z     return mod(**inputs)
2025-08-26T21:05:35.5022750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5022820Z     outputs = self.roberta(
2025-08-26T21:05:35.5023108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5023185Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5023474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5023547Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5023790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5023878Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5024156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5024245Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5024515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5024589Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5024878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5024973Z     self_outputs = self.self(
2025-08-26T21:05:35.5025231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5025303Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5025584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.5025809Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.5025813Z 
2025-08-26T21:05:35.5025920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5026135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5026203Z     return mod(**inputs)
2025-08-26T21:05:35.5026494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5026567Z     outputs = self.roberta(
2025-08-26T21:05:35.5026851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5026935Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5027214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5027295Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5027521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5027601Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5027889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5027975Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5028254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5028327Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5028621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5028695Z     self_outputs = self.self(
2025-08-26T21:05:35.5028947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5029024Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5029326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.5029405Z     self.key(current_states)
2025-08-26T21:05:35.5029409Z 
2025-08-26T21:05:35.5029517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5029725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5029802Z     return mod(**inputs)
2025-08-26T21:05:35.5030110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5030189Z     outputs = self.roberta(
2025-08-26T21:05:35.5030476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5030557Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5030863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5030966Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5031212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5031317Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5031613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5031700Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5031955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5032035Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5032336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5032415Z     self_outputs = self.self(
2025-08-26T21:05:35.5032992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5033073Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5033375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.5033454Z     self.value(current_states)
2025-08-26T21:05:35.5033458Z 
2025-08-26T21:05:35.5033556Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.5033669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5033886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5033958Z     return mod(**inputs)
2025-08-26T21:05:35.5034254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5034336Z     outputs = self.roberta(
2025-08-26T21:05:35.5034628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5034713Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5035033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5035111Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5035357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5035441Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5035740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5035825Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5036088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5036162Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5036452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5036536Z     self_outputs = self.self(
2025-08-26T21:05:35.5036796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5036877Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5037187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.5037336Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.5037340Z 
2025-08-26T21:05:35.5037460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5037671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5037773Z     return mod(**inputs)
2025-08-26T21:05:35.5038071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5038165Z     outputs = self.roberta(
2025-08-26T21:05:35.5038464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5038541Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5038839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5038915Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5039157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5039239Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5039530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5039625Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5039880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5039961Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5040252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.5040390Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.5040687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.5040773Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5040777Z 
2025-08-26T21:05:35.5040894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5041104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5041180Z     return mod(**inputs)
2025-08-26T21:05:35.5041475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5041567Z     outputs = self.roberta(
2025-08-26T21:05:35.5041866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5041942Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5042237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5042313Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5042547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5042636Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5042927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5043024Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5043304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5043393Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5043737Z   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
2025-08-26T21:05:35.5043867Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.5044164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.5044251Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5044273Z 
2025-08-26T21:05:35.5044392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5044602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5044712Z     return mod(**inputs)
2025-08-26T21:05:35.5045015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5045087Z     outputs = self.roberta(
2025-08-26T21:05:35.5045383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5045459Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5045755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5045830Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5046068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5046158Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5046447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5046545Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5046825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5046906Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5047239Z   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
2025-08-26T21:05:35.5047365Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.5047659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.5047782Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.5048020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.5048096Z     return self.act(input)
2025-08-26T21:05:35.5048120Z 
2025-08-26T21:05:35.5048231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5048447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5048517Z     return mod(**inputs)
2025-08-26T21:05:35.5048819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5048890Z     outputs = self.roberta(
2025-08-26T21:05:35.5049179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5049265Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5049568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5049649Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5049881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5049967Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5050272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5050358Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5050636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5050716Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5051057Z   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
2025-08-26T21:05:35.5051197Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.5051499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.5051590Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5051594Z 
2025-08-26T21:05:35.5051701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5051914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5051981Z     return mod(**inputs)
2025-08-26T21:05:35.5052284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5052354Z     outputs = self.roberta(
2025-08-26T21:05:35.5052637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5052721Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5053003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5053084Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5053315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5053395Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5053684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5053767Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5054026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5054101Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5054388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5054473Z     self_outputs = self.self(
2025-08-26T21:05:35.5054748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5054835Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5055127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T21:05:35.5055360Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T21:05:35.5055364Z 
2025-08-26T21:05:35.5055470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5055676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5055754Z     return mod(**inputs)
2025-08-26T21:05:35.5056041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5056120Z     outputs = self.roberta(
2025-08-26T21:05:35.5056404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5056500Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5056789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5056862Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5057097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5057176Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5057486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5057570Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5057839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5057920Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5058203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5058281Z     self_outputs = self.self(
2025-08-26T21:05:35.5058529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5058598Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5058890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T21:05:35.5058964Z     self.key(current_states)
2025-08-26T21:05:35.5058968Z 
2025-08-26T21:05:35.5059083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5059287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5059363Z     return mod(**inputs)
2025-08-26T21:05:35.5059649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5059721Z     outputs = self.roberta(
2025-08-26T21:05:35.5060010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5060083Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5060385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5060461Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5060689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5060783Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5061088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5061182Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5061433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5061504Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5061792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5061862Z     self_outputs = self.self(
2025-08-26T21:05:35.5062118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5062189Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5062477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T21:05:35.5062551Z     self.value(current_states)
2025-08-26T21:05:35.5062555Z 
2025-08-26T21:05:35.5062640Z cudagraph partition due to non gpu ops
2025-08-26T21:05:35.5062753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5062979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5063056Z     return mod(**inputs)
2025-08-26T21:05:35.5063349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5063418Z     outputs = self.roberta(
2025-08-26T21:05:35.5063709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5063800Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5064086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5064212Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5064450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5064531Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5064818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5064911Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5065158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5065235Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5065519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T21:05:35.5065589Z     self_outputs = self.self(
2025-08-26T21:05:35.5065850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5065921Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5066211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T21:05:35.5066351Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:05:35.5066355Z 
2025-08-26T21:05:35.5066470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5066675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5066743Z     return mod(**inputs)
2025-08-26T21:05:35.5067040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5067109Z     outputs = self.roberta(
2025-08-26T21:05:35.5067398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5067495Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5067780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5067863Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5068089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5068176Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5068456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T21:05:35.5068543Z     self_attention_outputs = self.attention(
2025-08-26T21:05:35.5068798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T21:05:35.5068871Z     return func(*args, **kwargs)
2025-08-26T21:05:35.5069162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T21:05:35.5069314Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T21:05:35.5069610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T21:05:35.5069696Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5069699Z 
2025-08-26T21:05:35.5069806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5070021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5070109Z     return mod(**inputs)
2025-08-26T21:05:35.5070408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5070498Z     outputs = self.roberta(
2025-08-26T21:05:35.5070803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5070886Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5071175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5071259Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5071500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5071588Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5071884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5071971Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5072261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5072346Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5072760Z   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
2025-08-26T21:05:35.5072917Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.5073212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T21:05:35.5073299Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5073304Z 
2025-08-26T21:05:35.5073425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5073639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5073721Z     return mod(**inputs)
2025-08-26T21:05:35.5074052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5074130Z     outputs = self.roberta(
2025-08-26T21:05:35.5074443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5074521Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5074830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5074905Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5075153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5075237Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5075534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5075631Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5075919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5076028Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5076352Z   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
2025-08-26T21:05:35.5076476Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T21:05:35.5076775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T21:05:35.5076915Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T21:05:35.5077151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:05:35.5077226Z     return self.act(input)
2025-08-26T21:05:35.5077250Z 
2025-08-26T21:05:35.5077370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5077584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5077654Z     return mod(**inputs)
2025-08-26T21:05:35.5077960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T21:05:35.5078032Z     outputs = self.roberta(
2025-08-26T21:05:35.5078329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T21:05:35.5078404Z     encoder_outputs = self.encoder(
2025-08-26T21:05:35.5078696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T21:05:35.5078779Z     layer_outputs = layer_module(
2025-08-26T21:05:35.5079017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:05:35.5079112Z     return super().__call__(*args, **kwargs)
2025-08-26T21:05:35.5079404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T21:05:35.5079499Z     layer_output = apply_chunking_to_forward(
2025-08-26T21:05:35.5079776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T21:05:35.5079856Z     return forward_fn(*input_tensors)
2025-08-26T21:05:35.5080189Z   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
2025-08-26T21:05:35.5080332Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T21:05:35.5080632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T21:05:35.5080773Z     hidden_states = self.dense(hidden_states)
2025-08-26T21:05:35.5080777Z 
2025-08-26T21:05:35.5080894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5081102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5081170Z     return mod(**inputs)
2025-08-26T21:05:35.5081472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1108, in forward
2025-08-26T21:05:35.5081578Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T21:05:35.5081886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1143, in forward
2025-08-26T21:05:35.5081963Z     x = self.dense(features)
2025-08-26T21:05:35.5081966Z 
2025-08-26T21:05:35.5082073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:05:35.5082290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:05:35.5082359Z     return mod(**inputs)
2025-08-26T21:05:35.5082690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1108, in forward
2025-08-26T21:05:35.5082795Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T21:05:35.5083101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1148, in forward
2025-08-26T21:05:35.5083182Z     x = self.decoder(x)
2025-08-26T21:05:35.5083185Z 
2025-08-26T21:05:47.6293979Z Compilation time (from dynamo_timed): 24.455259234
2025-08-26T21:05:47.8271499Z pass
2025-08-26T21:05:47.8275731Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:05:47.8276610Z TIMING: _recursive_pre_grad_passes:0.00745 _recursive_joint_graph_passes:0.48412 _recursive_post_grad_passes:0.07574 async_compile.wait:0.624 code_gen:8.56773 inductor_compile:11.74465 backend_compile:19.57625 gc:0.00158 entire_frame_compile:24.45526 total_wall_time:24.45526
2025-08-26T21:05:47.8278128Z STATS: call_* op count: 293 | FakeTensorMode.__torch_dispatch__:12570 | attempt fast:56 | fast is_contiguous:52 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:4300 | ProxyTorchDispatchMode.__torch_dispatch__:4468
2025-08-26T21:05:47.8278755Z Dynamo produced 1 graphs covering 293 ops with 0 graph breaks (0 unique)
2025-08-26T21:05:52.8384403Z 
2025-08-26T21:05:53.5362099Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:05:53.5366697Z 
2025-08-26T21:05:53.5406042Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-26T21:05:53.5411467Z config.json: 100% 1.21k/1.21k [00:00<00:00, 267kB/s]
2025-08-26T21:05:55.5068283Z 
2025-08-26T21:05:55.5069106Z loading model: 0it [00:02, ?it/s]
2025-08-26T21:05:55.5084914Z cpu  eval  hf_T5                              
2025-08-26T21:05:57.3084219Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:05:57.8920131Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:05:58.4689809Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:06:27.0512527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0513306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0513687Z     return mod(**inputs)
2025-08-26T21:06:27.0514122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0514762Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0515232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0515662Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0516384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0516806Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0517228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0517659Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0518081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0518514Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0518934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 546, in forward
2025-08-26T21:06:27.0519358Z     position_bias = position_bias + causal_mask
2025-08-26T21:06:27.0519546Z 
2025-08-26T21:06:27.0519672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0520083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0520430Z     return mod(**inputs)
2025-08-26T21:06:27.0520882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0521305Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0521711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0522115Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0522503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0523029Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0523440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0523914Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0524331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0524767Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0525188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0525605Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0525752Z 
2025-08-26T21:06:27.0525877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0526277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0526636Z     return mod(**inputs)
2025-08-26T21:06:27.0527024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0527444Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0527827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0528227Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0528602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0528991Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0529387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0529790Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0530198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0530603Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0531015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0531428Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0531576Z 
2025-08-26T21:06:27.0531713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0532091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0532446Z     return mod(**inputs)
2025-08-26T21:06:27.0532822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0533221Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0533626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0534031Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0534444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0534846Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0535261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0535657Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0536133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0536552Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0537025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0537428Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0537578Z 
2025-08-26T21:06:27.0537667Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0537899Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0538178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0538558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0538894Z     return mod(**inputs)
2025-08-26T21:06:27.0539286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0539684Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0540073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0540476Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0540861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0541266Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0541670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0542076Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0542482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0542899Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0543303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0543703Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0543856Z 
2025-08-26T21:06:27.0543973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0544366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0544724Z     return mod(**inputs)
2025-08-26T21:06:27.0545109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0545513Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0545916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0546336Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0546780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0547181Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0547574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0547991Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0548408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0548854Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0549281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0549686Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0549838Z 
2025-08-26T21:06:27.0549951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0550345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0550694Z     return mod(**inputs)
2025-08-26T21:06:27.0551080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0551484Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0551884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0552280Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0552756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0553173Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0553577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0554289Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0554723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0555158Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0555585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0555985Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0556129Z 
2025-08-26T21:06:27.0556247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0556632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0556969Z     return mod(**inputs)
2025-08-26T21:06:27.0557341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0557736Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0558126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0558523Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0558888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0559276Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0559671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0560090Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0560491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0560935Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0561363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0561768Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0561904Z 
2025-08-26T21:06:27.0562065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0562437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0562781Z     return mod(**inputs)
2025-08-26T21:06:27.0563145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0563536Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0563916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0564303Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0564672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0565059Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0565443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0565831Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0566248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0566662Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0567056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0567455Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0567597Z 
2025-08-26T21:06:27.0567706Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0568097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0568436Z     return mod(**inputs)
2025-08-26T21:06:27.0568799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0569197Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0569580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0569972Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0570334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0570712Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0571093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0571485Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0571877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0572270Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0572659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0573046Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0573189Z 
2025-08-26T21:06:27.0573296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0573666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0574004Z     return mod(**inputs)
2025-08-26T21:06:27.0574357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0574744Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0575134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0575540Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0575901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0576446Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0576867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0577269Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0577659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0578056Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0578433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0578823Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0578965Z 
2025-08-26T21:06:27.0579057Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0579282Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0579521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0579895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0580235Z     return mod(**inputs)
2025-08-26T21:06:27.0580596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0581040Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0581424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0581822Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0582187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0582609Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0583010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0583429Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0583841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0584232Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0584618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0584996Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0585137Z 
2025-08-26T21:06:27.0585247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0585619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0585955Z     return mod(**inputs)
2025-08-26T21:06:27.0586308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0586693Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0587072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0587457Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0587814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0588195Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0588593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0589004Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0589414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0589860Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0590299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0590698Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0590846Z 
2025-08-26T21:06:27.0590956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0592156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0592527Z     return mod(**inputs)
2025-08-26T21:06:27.0593008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0593420Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0593816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0594233Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0594604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0594999Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0595405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0595840Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0596258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0596740Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0597188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0597603Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0597758Z 
2025-08-26T21:06:27.0597869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0598222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0598567Z     return mod(**inputs)
2025-08-26T21:06:27.0598974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0599394Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0599789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0600173Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0600539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0600916Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0601302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0601704Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0602103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0602525Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0602927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0603303Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0603436Z 
2025-08-26T21:06:27.0603546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0603922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0604259Z     return mod(**inputs)
2025-08-26T21:06:27.0604618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0605013Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0605383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0605768Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0606129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0606509Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0606905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0607305Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0607690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0608091Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0608483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0608873Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0609022Z 
2025-08-26T21:06:27.0609127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0609500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0609834Z     return mod(**inputs)
2025-08-26T21:06:27.0610187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0610573Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0610968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0611355Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0611719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0612101Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0612489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0612905Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0613298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0613725Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0614111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0614664Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0614817Z 
2025-08-26T21:06:27.0614929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0615314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0615656Z     return mod(**inputs)
2025-08-26T21:06:27.0616036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0616446Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0616838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0617230Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0617600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0617985Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0618382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0618779Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0619172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0619570Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0619964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0620359Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0620500Z 
2025-08-26T21:06:27.0620591Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0620810Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0621063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0621511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0621858Z     return mod(**inputs)
2025-08-26T21:06:27.0622218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0622608Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0622989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0623381Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0623744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0624121Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0624523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0624924Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0625328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0625766Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0626154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0626552Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0626698Z 
2025-08-26T21:06:27.0626810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0627195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0627563Z     return mod(**inputs)
2025-08-26T21:06:27.0627932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0628367Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0628768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0629170Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0629548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0629945Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0630350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0630771Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0631185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0631640Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0632088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0632510Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0632714Z 
2025-08-26T21:06:27.0632840Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0633225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0633576Z     return mod(**inputs)
2025-08-26T21:06:27.0633954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0634362Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0634759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0635153Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0635530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0635928Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0636357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0636768Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0637179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0637618Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0638052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0638450Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0638598Z 
2025-08-26T21:06:27.0638709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0639090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0639437Z     return mod(**inputs)
2025-08-26T21:06:27.0639806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0640204Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0640607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0641008Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0641380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0641780Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0642169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0642601Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0643010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0643469Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0643914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0644316Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0644469Z 
2025-08-26T21:06:27.0644584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0644977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0645320Z     return mod(**inputs)
2025-08-26T21:06:27.0645685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0646075Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0646459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0646846Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0647215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0647593Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0647991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0648389Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0648780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0649192Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0649581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0649979Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0650128Z 
2025-08-26T21:06:27.0650240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0650625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0650982Z     return mod(**inputs)
2025-08-26T21:06:27.0651354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0651747Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0652145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0652557Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0652956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0653343Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0653728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0654139Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0654537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0654930Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0655351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0655750Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0655887Z 
2025-08-26T21:06:27.0656004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0656369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0656719Z     return mod(**inputs)
2025-08-26T21:06:27.0657107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0657518Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0657914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0658327Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0658698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0659091Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0659487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0659883Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0660283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0660678Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0661078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0661475Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0661617Z 
2025-08-26T21:06:27.0661699Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0661923Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0662174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0662546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0662874Z     return mod(**inputs)
2025-08-26T21:06:27.0663236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0663631Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0664024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0664434Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0664801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0665194Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0665622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0666034Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0666438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0666836Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0667237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0667650Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0667790Z 
2025-08-26T21:06:27.0667912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0668292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0668640Z     return mod(**inputs)
2025-08-26T21:06:27.0669021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0669419Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0669836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0670227Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0670600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0670995Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0671389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0671831Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0672235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:06:27.0672814Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:06:27.0673021Z 
2025-08-26T21:06:27.0673145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0673532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0673876Z     return mod(**inputs)
2025-08-26T21:06:27.0674249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0674648Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0675044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0675441Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0675813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0676204Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0676602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0677016Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0677420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0677872Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0678290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0678679Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0678818Z 
2025-08-26T21:06:27.0678932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0679295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0679629Z     return mod(**inputs)
2025-08-26T21:06:27.0679983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0680393Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0680777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0681152Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0681513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0681891Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0682276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0682678Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0683080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0683516Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0683944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0684335Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0684476Z 
2025-08-26T21:06:27.0684607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0684982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0685320Z     return mod(**inputs)
2025-08-26T21:06:27.0685679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0686082Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0686473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0686865Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0687229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0687629Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0688018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0688421Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0688820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0689258Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0689679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0690062Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0690208Z 
2025-08-26T21:06:27.0690316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0690689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0691028Z     return mod(**inputs)
2025-08-26T21:06:27.0691393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0691792Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0692183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0692568Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0692928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0693308Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0693697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0694092Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0694479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0694900Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0695284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0695668Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0695812Z 
2025-08-26T21:06:27.0695919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0696291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0696620Z     return mod(**inputs)
2025-08-26T21:06:27.0696975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0697357Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0697732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0698118Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0698471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0698861Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0699249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0699645Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0700029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0700428Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0700835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0701221Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0701358Z 
2025-08-26T21:06:27.0701535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0701904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0702242Z     return mod(**inputs)
2025-08-26T21:06:27.0702609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0702999Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0703381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0703773Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0704144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0704536Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0704934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0705333Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0705737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0706142Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0706543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0706952Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0707095Z 
2025-08-26T21:06:27.0707179Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0707422Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0707667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0708043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0708373Z     return mod(**inputs)
2025-08-26T21:06:27.0708739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0709164Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0709560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0709968Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0710335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0710722Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0711108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0711505Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0711888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0712293Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0712793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0713205Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0713346Z 
2025-08-26T21:06:27.0713492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0713880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0714222Z     return mod(**inputs)
2025-08-26T21:06:27.0714780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0715186Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0715583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0716040Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0716415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0716838Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0717240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0717654Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0718073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0718514Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0718953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0719356Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0719499Z 
2025-08-26T21:06:27.0719611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0719995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0720344Z     return mod(**inputs)
2025-08-26T21:06:27.0720715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0721114Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0721502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0721897Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0722271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0722658Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0723047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0723465Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0723881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0724350Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0724788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0725191Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0725337Z 
2025-08-26T21:06:27.0725447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0725817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0726157Z     return mod(**inputs)
2025-08-26T21:06:27.0726508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0726899Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0727278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0727663Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0728028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0728400Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0728823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0729228Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0729630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0730081Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0730516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0730907Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0731068Z 
2025-08-26T21:06:27.0731174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0731543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0731870Z     return mod(**inputs)
2025-08-26T21:06:27.0732231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0732697Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0733071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0733471Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0733822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0734197Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0734580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0734971Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0735359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0735744Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0736132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0736521Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0736659Z 
2025-08-26T21:06:27.0736775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0737141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0737484Z     return mod(**inputs)
2025-08-26T21:06:27.0737842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0738226Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0738628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0739010Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0739374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0739755Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0740142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0740529Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0740919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0741314Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0741706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0742095Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0742233Z 
2025-08-26T21:06:27.0742345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0742736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0743080Z     return mod(**inputs)
2025-08-26T21:06:27.0743442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0743837Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0744212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0744613Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0744975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0745364Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0745761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0746153Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0746542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0746934Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0747316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0747704Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0747850Z 
2025-08-26T21:06:27.0747933Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0748157Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0748408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0748783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0749133Z     return mod(**inputs)
2025-08-26T21:06:27.0749508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0749909Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0750299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0750686Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0751062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0751446Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0751831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0752215Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0752672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0753105Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0753505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0753921Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0754065Z 
2025-08-26T21:06:27.0754177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0754570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0754934Z     return mod(**inputs)
2025-08-26T21:06:27.0755299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0755692Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0756077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0756466Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0756841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0757227Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0757626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0758030Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0758430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0758832Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0759230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0759638Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0759784Z 
2025-08-26T21:06:27.0759895Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0760297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0760646Z     return mod(**inputs)
2025-08-26T21:06:27.0761009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0761404Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0761793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0762185Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0762553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0762934Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0763323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0763725Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0764112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0764522Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0764918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0765303Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0765451Z 
2025-08-26T21:06:27.0765535Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0765761Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0766005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0766389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0766733Z     return mod(**inputs)
2025-08-26T21:06:27.0767110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0767508Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0767907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0768309Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0768681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0769075Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0769462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0769947Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0770345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0770758Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0771153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0771558Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0771702Z 
2025-08-26T21:06:27.0771815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0772216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0772563Z     return mod(**inputs)
2025-08-26T21:06:27.0772926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0773332Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0773725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0774148Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0774521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0774953Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0775352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0775757Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0776163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0776570Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0776965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0777367Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0777520Z 
2025-08-26T21:06:27.0777632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0778015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0778355Z     return mod(**inputs)
2025-08-26T21:06:27.0778730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0779131Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0779522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0779919Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0780289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0780679Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0781077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0781481Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0781877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0782272Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0782689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0783075Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0783211Z 
2025-08-26T21:06:27.0783329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0783696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0784034Z     return mod(**inputs)
2025-08-26T21:06:27.0784391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0784778Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0785153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0785524Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0785893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0786267Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0786670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0787058Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0787449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:06:27.0787895Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:06:27.0788090Z 
2025-08-26T21:06:27.0788208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0788596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0788923Z     return mod(**inputs)
2025-08-26T21:06:27.0789286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0789700Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0790080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0790466Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0790820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0791196Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0791582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0791987Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0792380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0792925Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0793379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0793794Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0793938Z 
2025-08-26T21:06:27.0794060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0794448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0794790Z     return mod(**inputs)
2025-08-26T21:06:27.0795151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0795539Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0795915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0796297Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0796659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0797072Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0797464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0797858Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0798258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0798690Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0799115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0799510Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0799650Z 
2025-08-26T21:06:27.0799759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0800131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0800469Z     return mod(**inputs)
2025-08-26T21:06:27.0800830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:06:27.0801235Z     encoder_outputs = self.encoder(
2025-08-26T21:06:27.0801620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0801981Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0802339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0802716Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0803129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0803543Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0803975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0804418Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0804863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0805244Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0805390Z 
2025-08-26T21:06:27.0805499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0805869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0806202Z     return mod(**inputs)
2025-08-26T21:06:27.0806539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0806925Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0807302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0807689Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0808053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0808423Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0808804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0809193Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0809577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0809978Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0810368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0810727Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0810857Z 
2025-08-26T21:06:27.0810971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0811362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0811695Z     return mod(**inputs)
2025-08-26T21:06:27.0812067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0812464Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0812852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0813249Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0813621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0814021Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0814555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0814978Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0815358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0815813Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0816208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0816687Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0816827Z 
2025-08-26T21:06:27.0816918Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0817132Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0817414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0817785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0818122Z     return mod(**inputs)
2025-08-26T21:06:27.0818511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0818897Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0819279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0819664Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0820029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0820401Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0820788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0821181Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0821569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0821963Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0822346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0822735Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0822870Z 
2025-08-26T21:06:27.0822989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0823364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0823696Z     return mod(**inputs)
2025-08-26T21:06:27.0824064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0824453Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0824838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0825221Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0825579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0825991Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0826381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0826784Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0827180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0827609Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0828031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0828426Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0828565Z 
2025-08-26T21:06:27.0828680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0829048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0829388Z     return mod(**inputs)
2025-08-26T21:06:27.0829753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0830160Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0830539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0830913Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0831271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0831645Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0832060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0832466Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0832979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0833432Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0833868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0834271Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0834416Z 
2025-08-26T21:06:27.0834529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0834914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0835262Z     return mod(**inputs)
2025-08-26T21:06:27.0835635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0836041Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0836423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0836823Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0837201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0837598Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0837990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0838408Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0838818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0839257Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0839701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0840097Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0840250Z 
2025-08-26T21:06:27.0840362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0840772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0841124Z     return mod(**inputs)
2025-08-26T21:06:27.0841498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0841904Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0842298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0842699Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0843074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0843456Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0843858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0844270Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0844673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0845106Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0845510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0845899Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0846047Z 
2025-08-26T21:06:27.0846157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0846544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0846912Z     return mod(**inputs)
2025-08-26T21:06:27.0847276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0847679Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0848061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0848444Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0848797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0849172Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0849557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0849952Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0850331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0850724Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0851113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0851499Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0851636Z 
2025-08-26T21:06:27.0851751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0852118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0852448Z     return mod(**inputs)
2025-08-26T21:06:27.0852809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0853191Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0853567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0853944Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0854306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0854680Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0855083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0855467Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0855857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0856250Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0856643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0857028Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0857168Z 
2025-08-26T21:06:27.0857254Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0857476Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0857727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0858100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0858435Z     return mod(**inputs)
2025-08-26T21:06:27.0858802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0859207Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0859589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0859973Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0860326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0860702Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0861107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0861495Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0861872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0862291Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0862679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0863063Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0863198Z 
2025-08-26T21:06:27.0863312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0863677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0864021Z     return mod(**inputs)
2025-08-26T21:06:27.0864402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0864791Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0865170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0865548Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0865913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0866289Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0866675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0867057Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0867443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0867835Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0868222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0868602Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0868741Z 
2025-08-26T21:06:27.0868852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0869238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0869576Z     return mod(**inputs)
2025-08-26T21:06:27.0869937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0870321Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0870694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0871096Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0871458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0871836Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0872210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0872702Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0873115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0873523Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0873961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0874340Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0874486Z 
2025-08-26T21:06:27.0874597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0874973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0875330Z     return mod(**inputs)
2025-08-26T21:06:27.0875684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0876090Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0876493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0876879Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0877242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0877608Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0877996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0878409Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0878797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0879192Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0879578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0879981Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0880122Z 
2025-08-26T21:06:27.0880212Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0880439Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0880682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0881056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0881391Z     return mod(**inputs)
2025-08-26T21:06:27.0881753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0882142Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0882516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0882902Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0883266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0883646Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0884039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0884437Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0884827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0885222Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0885606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0885984Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0886128Z 
2025-08-26T21:06:27.0886237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0886611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0886950Z     return mod(**inputs)
2025-08-26T21:06:27.0887305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0887693Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0888087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0888475Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0888844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0889218Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0889610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0890049Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0890446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0890903Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0891321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0891714Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0891863Z 
2025-08-26T21:06:27.0891971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0892348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0892681Z     return mod(**inputs)
2025-08-26T21:06:27.0893044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0893432Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0893813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0894200Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0894553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0894930Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0895319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0895723Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0896116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0896569Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0896993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0897410Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0897551Z 
2025-08-26T21:06:27.0897669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0898056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0898393Z     return mod(**inputs)
2025-08-26T21:06:27.0898759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0899146Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0899525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0899922Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0900280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0900656Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0901039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0901432Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0901855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0902320Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0902767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0903180Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0903316Z 
2025-08-26T21:06:27.0903423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0903792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0904178Z     return mod(**inputs)
2025-08-26T21:06:27.0904552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0904629Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0904937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0905011Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0905239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0905329Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0905593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0905683Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0905946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0906034Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0906362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0906442Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0906446Z 
2025-08-26T21:06:27.0906564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0906771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0906845Z     return mod(**inputs)
2025-08-26T21:06:27.0907109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0907185Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0907453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0907529Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0907785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0907867Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0908128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0908221Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0908487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0908580Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0908839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0908919Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0908930Z 
2025-08-26T21:06:27.0909037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0909244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0909319Z     return mod(**inputs)
2025-08-26T21:06:27.0909583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0909670Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0909911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0910002Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0910241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0910322Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0910594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0910696Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0910963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0911056Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0911316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0911403Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0911407Z 
2025-08-26T21:06:27.0911492Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0911572Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0911686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0911888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0911963Z     return mod(**inputs)
2025-08-26T21:06:27.0912205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0912282Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0912531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0912671Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0912921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0913003Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0913258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0913341Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0913586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0913682Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0913935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0914022Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0914026Z 
2025-08-26T21:06:27.0914132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0914360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0914610Z     return mod(**inputs)
2025-08-26T21:06:27.0914878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0914964Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0915216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0915300Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0915536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0915623Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0915881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0915969Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0916227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:06:27.0916372Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:06:27.0916425Z 
2025-08-26T21:06:27.0916537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0916755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0916825Z     return mod(**inputs)
2025-08-26T21:06:27.0917083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0917190Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0917443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0917527Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0917812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0917905Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0918155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0918247Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0918496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0918586Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0918842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0918928Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0918932Z 
2025-08-26T21:06:27.0919049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0919257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0919329Z     return mod(**inputs)
2025-08-26T21:06:27.0919586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0919663Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0919920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0919994Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0920227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0920314Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0920564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0920656Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0920907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0921026Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0921276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0921358Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0921363Z 
2025-08-26T21:06:27.0921478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0921686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0921763Z     return mod(**inputs)
2025-08-26T21:06:27.0922012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0922093Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0922348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0922426Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0922668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0922776Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0923026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0923116Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0923360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0923456Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0923722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0923813Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0923834Z 
2025-08-26T21:06:27.0923920Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0924005Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0924124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0924338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0924414Z     return mod(**inputs)
2025-08-26T21:06:27.0924667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0924744Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0925006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0925082Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0925330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0925411Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0925673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0925765Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0926019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0926115Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0926366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0926455Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0926459Z 
2025-08-26T21:06:27.0926569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0926783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0926859Z     return mod(**inputs)
2025-08-26T21:06:27.0927123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0927225Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0927476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0927551Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0927794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0927875Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0928127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0928226Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0928472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0928604Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0928853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0928945Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0928949Z 
2025-08-26T21:06:27.0929075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0929294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0929361Z     return mod(**inputs)
2025-08-26T21:06:27.0929611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0929694Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0929964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0930047Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0930283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0930384Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0930644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0930739Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0930997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0931119Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0931373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0931462Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0931466Z 
2025-08-26T21:06:27.0931578Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0931796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0931868Z     return mod(**inputs)
2025-08-26T21:06:27.0932128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0932206Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0932457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0932540Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0932774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0932861Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0933115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0933207Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0933480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0933604Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0933859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0933943Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0933947Z 
2025-08-26T21:06:27.0934059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0934271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0934340Z     return mod(**inputs)
2025-08-26T21:06:27.0934600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0934676Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0934932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0935012Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0935250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0935358Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0935607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0935696Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0935941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0936028Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0936299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0936379Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0936401Z 
2025-08-26T21:06:27.0936521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0936732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0936809Z     return mod(**inputs)
2025-08-26T21:06:27.0937060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0937137Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0937392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0937467Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0937708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0937792Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0938040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0938137Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0938387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0938481Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0938730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0938816Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0938820Z 
2025-08-26T21:06:27.0938929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0939141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0939219Z     return mod(**inputs)
2025-08-26T21:06:27.0939470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0939557Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0939823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0939900Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0940148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0940232Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0940489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0940574Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0940824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0940918Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0941168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0941258Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0941264Z 
2025-08-26T21:06:27.0941346Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0941435Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0941562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0941773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0941851Z     return mod(**inputs)
2025-08-26T21:06:27.0942103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0942189Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0942457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0942531Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0942774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0942875Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0943131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0943216Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0943474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0943567Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0943824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0943915Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0943919Z 
2025-08-26T21:06:27.0944029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0944243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0944316Z     return mod(**inputs)
2025-08-26T21:06:27.0944577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0944666Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0944917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0944999Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0945243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0945326Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0945583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0945669Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0945935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0946052Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0946316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0946408Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0946412Z 
2025-08-26T21:06:27.0946524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0946739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0946808Z     return mod(**inputs)
2025-08-26T21:06:27.0947076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0947155Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0947416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0947500Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0947744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0947832Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0948109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0948193Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0948465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0948552Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0948867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0948948Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0948952Z 
2025-08-26T21:06:27.0949077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0949294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0949362Z     return mod(**inputs)
2025-08-26T21:06:27.0949623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0949701Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0949965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0950040Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0950281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0950372Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0950628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0950720Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0950979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0951067Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0951334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0951414Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0951418Z 
2025-08-26T21:06:27.0951509Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0951591Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0951700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0951923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0951992Z     return mod(**inputs)
2025-08-26T21:06:27.0952256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0952353Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0952746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0952879Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0953120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0953210Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0953460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0953554Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0953804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0953893Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0954158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0954240Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0954244Z 
2025-08-26T21:06:27.0954390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0954603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0954672Z     return mod(**inputs)
2025-08-26T21:06:27.0954931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0955008Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0955266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0955374Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0955608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0955716Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0955968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0956061Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0956314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-26T21:06:27.0956462Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:06:27.0956466Z 
2025-08-26T21:06:27.0956574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0956783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0956863Z     return mod(**inputs)
2025-08-26T21:06:27.0957118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0957203Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0957458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0957534Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0957781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0957859Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0958122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0958218Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0958478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0958604Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0958854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0958965Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0958969Z 
2025-08-26T21:06:27.0959079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0959296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0959365Z     return mod(**inputs)
2025-08-26T21:06:27.0959614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0959699Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0959956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0960037Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0960263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0960344Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0960596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0960688Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0960952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0961072Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0961322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0961404Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0961423Z 
2025-08-26T21:06:27.0961530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0961745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0961828Z     return mod(**inputs)
2025-08-26T21:06:27.0962083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0962160Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0962406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0962488Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0962719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0962806Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0963051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0963154Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0963405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0963529Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0963793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0963878Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0963882Z 
2025-08-26T21:06:27.0963997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0964217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0964284Z     return mod(**inputs)
2025-08-26T21:06:27.0964543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0964620Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0964869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0964945Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0965202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0965289Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0965539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0965627Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0965877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0965969Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0966219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0966300Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0966304Z 
2025-08-26T21:06:27.0966416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0966618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0966694Z     return mod(**inputs)
2025-08-26T21:06:27.0966952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0967029Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0967293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0967367Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0967606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0967705Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0967958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0968047Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0968336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0968430Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0968676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0968760Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0968763Z 
2025-08-26T21:06:27.0968869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0969075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0969150Z     return mod(**inputs)
2025-08-26T21:06:27.0969397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0969480Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0969738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0969814Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0970054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0970134Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0970387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0970468Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0970722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0970815Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0971067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0971155Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0971160Z 
2025-08-26T21:06:27.0971242Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0971349Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0971455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0971660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0971734Z     return mod(**inputs)
2025-08-26T21:06:27.0971985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0972066Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0972320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0972394Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0972638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0972720Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0972976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0973059Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0973316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0973406Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0973645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0973731Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0973734Z 
2025-08-26T21:06:27.0973858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0974071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0974138Z     return mod(**inputs)
2025-08-26T21:06:27.0974399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0974482Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0974728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0974808Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0975037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0975118Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0975367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0975451Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0975698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0975784Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0976024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0976112Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0976118Z 
2025-08-26T21:06:27.0976221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0976434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0976500Z     return mod(**inputs)
2025-08-26T21:06:27.0976752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0976827Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0977070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0977150Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0977379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0977482Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0977725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0977808Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0978055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0978141Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0978385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0978462Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0978465Z 
2025-08-26T21:06:27.0978576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0978779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0978847Z     return mod(**inputs)
2025-08-26T21:06:27.0979097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0979188Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0979440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0979515Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0979747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0979834Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0980098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0980188Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0980452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0980540Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0980797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.0980879Z     value_states = self.v(current_states)
2025-08-26T21:06:27.0980883Z 
2025-08-26T21:06:27.0980973Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0981056Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.0981162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0981389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0981457Z     return mod(**inputs)
2025-08-26T21:06:27.0981707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0981783Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0982040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0982115Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0982352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0982439Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0982688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.0982780Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.0983027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.0983117Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.0983374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.0983457Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.0983460Z 
2025-08-26T21:06:27.0983600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0983816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0983885Z     return mod(**inputs)
2025-08-26T21:06:27.0984155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0984232Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0984496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0984571Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0984824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0984904Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0985161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0985265Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0985546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0985679Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0985949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.0986031Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.0986034Z 
2025-08-26T21:06:27.0986150Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0986381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0986457Z     return mod(**inputs)
2025-08-26T21:06:27.0986743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0986828Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0987079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0987155Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0987400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0987479Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0987743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0987840Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0988096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0988225Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0988484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.0988576Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.0988582Z 
2025-08-26T21:06:27.0988690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0988897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0988977Z     return mod(**inputs)
2025-08-26T21:06:27.0989239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0989323Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0989576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0989659Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0989903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0990004Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0990263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0990356Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0990621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.0990741Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.0990999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.0991094Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.0991098Z 
2025-08-26T21:06:27.0991204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0991426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0991496Z     return mod(**inputs)
2025-08-26T21:06:27.0991746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0991847Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0992114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0992199Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0992439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0992527Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0992914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.0993015Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.0993298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-26T21:06:27.0993438Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-26T21:06:27.0993443Z 
2025-08-26T21:06:27.0993560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0993773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0993842Z     return mod(**inputs)
2025-08-26T21:06:27.0994102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0994178Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0994451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0994529Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0994770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0994856Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0995105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0995202Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0995449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0995544Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0995790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.0995872Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.0995876Z 
2025-08-26T21:06:27.0995994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0996201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0996280Z     return mod(**inputs)
2025-08-26T21:06:27.0996544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0996624Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0996886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0996964Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0997207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0997288Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0997546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.0997634Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.0997884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.0997982Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.0998240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.0998341Z     key_states = self.k(current_states)
2025-08-26T21:06:27.0998345Z 
2025-08-26T21:06:27.0998452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.0998658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.0998734Z     return mod(**inputs)
2025-08-26T21:06:27.0998978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.0999079Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.0999324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.0999414Z     layer_outputs = layer_module(
2025-08-26T21:06:27.0999651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.0999731Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.0999982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.1000063Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.1000309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.1000394Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.1000633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.1000723Z     value_states = self.v(current_states)
2025-08-26T21:06:27.1000726Z 
2025-08-26T21:06:27.1000807Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.1000895Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.1001001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1001205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1001282Z     return mod(**inputs)
2025-08-26T21:06:27.1001527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.1001608Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.1001851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.1001924Z     layer_outputs = layer_module(
2025-08-26T21:06:27.1002163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.1002240Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.1002490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:06:27.1002590Z     self_attention_outputs = self.layer[0](
2025-08-26T21:06:27.1002845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:06:27.1002928Z     attention_output = self.SelfAttention(
2025-08-26T21:06:27.1003172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.1003259Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.1003263Z 
2025-08-26T21:06:27.1003369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1003583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1003651Z     return mod(**inputs)
2025-08-26T21:06:27.1003897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.1003982Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.1004229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.1004328Z     layer_outputs = layer_module(
2025-08-26T21:06:27.1004557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.1004636Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.1004893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.1004976Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.1005242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.1005327Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.1005581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:06:27.1005689Z     query_states = self.q(hidden_states)
2025-08-26T21:06:27.1005692Z 
2025-08-26T21:06:27.1005799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1006009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1006078Z     return mod(**inputs)
2025-08-26T21:06:27.1006380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.1006453Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.1006701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.1006782Z     layer_outputs = layer_module(
2025-08-26T21:06:27.1007015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.1007101Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.1007354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.1007436Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.1007682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.1007765Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.1008013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:06:27.1008090Z     key_states = self.k(current_states)
2025-08-26T21:06:27.1008095Z 
2025-08-26T21:06:27.1008205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1008417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1008489Z     return mod(**inputs)
2025-08-26T21:06:27.1008756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.1008834Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.1009096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.1009170Z     layer_outputs = layer_module(
2025-08-26T21:06:27.1009410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.1009496Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.1009747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.1009836Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.1010086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.1010172Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.1010431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:06:27.1010527Z     value_states = self.v(current_states)
2025-08-26T21:06:27.1010531Z 
2025-08-26T21:06:27.1010623Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.1010705Z cudagraph partition due to non gpu ops
2025-08-26T21:06:27.1010821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1011041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1011109Z     return mod(**inputs)
2025-08-26T21:06:27.1011399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.1011481Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.1011752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.1012681Z     layer_outputs = layer_module(
2025-08-26T21:06:27.1012927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.1013019Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.1013285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:06:27.1013375Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:06:27.1013629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:06:27.1013717Z     attention_output = self.EncDecAttention(
2025-08-26T21:06:27.1013977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:06:27.1014057Z     attn_output = self.o(attn_output)
2025-08-26T21:06:27.1014063Z 
2025-08-26T21:06:27.1014176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1014380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1014624Z     return mod(**inputs)
2025-08-26T21:06:27.1014882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.1014957Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.1015209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.1015283Z     layer_outputs = layer_module(
2025-08-26T21:06:27.1015523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.1015604Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.1015845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.1016000Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.1016242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.1016371Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.1016616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:06:27.1016699Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:06:27.1016711Z 
2025-08-26T21:06:27.1016815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1017018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1017094Z     return mod(**inputs)
2025-08-26T21:06:27.1017334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.1017418Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.1017661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.1017734Z     layer_outputs = layer_module(
2025-08-26T21:06:27.1018005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.1018086Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.1018334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.1018426Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.1018693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.1018821Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.1019059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:06:27.1019207Z     hidden_states = self.act(hidden_states)
2025-08-26T21:06:27.1019211Z 
2025-08-26T21:06:27.1019318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1019533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1019600Z     return mod(**inputs)
2025-08-26T21:06:27.1019844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:06:27.1019925Z     decoder_outputs = self.decoder(
2025-08-26T21:06:27.1020169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:06:27.1020251Z     layer_outputs = layer_module(
2025-08-26T21:06:27.1020479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:06:27.1020560Z     return super().__call__(*args, **kwargs)
2025-08-26T21:06:27.1020809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:06:27.1020904Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:06:27.1021152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:06:27.1021269Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:06:27.1021512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:06:27.1021599Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:06:27.1021605Z 
2025-08-26T21:06:27.1021709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:06:27.1021921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:06:27.1021991Z     return mod(**inputs)
2025-08-26T21:06:27.1022257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1791, in forward
2025-08-26T21:06:27.1022348Z     lm_logits = self.lm_head(sequence_output)
2025-08-26T21:06:27.1022352Z 
2025-08-26T21:06:36.7034513Z Compilation time (from dynamo_timed): 36.493749838
2025-08-26T21:06:36.7455428Z pass
2025-08-26T21:06:36.7456048Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:06:36.7457089Z TIMING: _recursive_pre_grad_passes:0.0122 _recursive_joint_graph_passes:1.29335 _recursive_post_grad_passes:0.09598 async_compile.wait:0.59285 code_gen:8.99555 inductor_compile:12.13994 backend_compile:29.43846 gc:0.00027 entire_frame_compile:36.49375 total_wall_time:36.49375
2025-08-26T21:06:36.7462518Z STATS: call_* op count: 806 | FakeTensorMode.__torch_dispatch__:20258 | FakeTensor.__torch_dispatch__:4281 | attempt fast:30 | fast is_contiguous:24 | slow both tensors nontrivially broadcast:4 | slow no contiguity match:2 | ProxyTorchDispatchMode.__torch_dispatch__:7757
2025-08-26T21:06:36.7463372Z Dynamo produced 1 graphs covering 806 ops with 0 graph breaks (0 unique)
2025-08-26T21:06:42.6826969Z 
2025-08-26T21:06:43.3869605Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:06:43.3871736Z 
2025-08-26T21:06:43.3902756Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-26T21:06:43.3903144Z config.json: 100% 1.21k/1.21k [00:00<00:00, 278kB/s]
2025-08-26T21:06:56.6215046Z 
2025-08-26T21:06:56.6215544Z loading model: 0it [00:13, ?it/s]
2025-08-26T21:06:56.6271280Z cpu  eval  hf_T5_base                         
2025-08-26T21:07:23.7464828Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:07:35.5050047Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:07:47.2114588Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:08:39.9183169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9187004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9187408Z     return mod(**inputs)
2025-08-26T21:08:39.9187897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9188323Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9188745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9189209Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9189597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9189999Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9190410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9190848Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9191279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9191693Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9192094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 546, in forward
2025-08-26T21:08:39.9192877Z     position_bias = position_bias + causal_mask
2025-08-26T21:08:39.9193064Z 
2025-08-26T21:08:39.9193194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9193604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9193991Z     return mod(**inputs)
2025-08-26T21:08:39.9194376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9194770Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9195542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9195948Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9196331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9196740Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9197141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9197550Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9198084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9198483Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9198883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9199281Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9199426Z 
2025-08-26T21:08:39.9199547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9200016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9200367Z     return mod(**inputs)
2025-08-26T21:08:39.9200792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9201198Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9201587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9202029Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9202391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9202813Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9203203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9203600Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9203983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9204378Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9204767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9205161Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9205300Z 
2025-08-26T21:08:39.9205421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9205800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9206148Z     return mod(**inputs)
2025-08-26T21:08:39.9206516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9206914Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9207291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9207675Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9208039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9208425Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9208810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9209199Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9209586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9209989Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9210436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9210830Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9210970Z 
2025-08-26T21:08:39.9211059Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9211283Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9211533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9211910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9212248Z     return mod(**inputs)
2025-08-26T21:08:39.9212614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9213021Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9213417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9213802Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9214164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9214732Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9215108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9215482Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9215838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9216211Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9216614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9216982Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9217108Z 
2025-08-26T21:08:39.9217246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9217599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9217919Z     return mod(**inputs)
2025-08-26T21:08:39.9218263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9218631Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9218984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9219349Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9219692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9220071Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9220465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9220851Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9221242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9221663Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9222069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9222440Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9222574Z 
2025-08-26T21:08:39.9222678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9223038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9223358Z     return mod(**inputs)
2025-08-26T21:08:39.9223710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9224094Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9224532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9224898Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9225241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9225595Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9225951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9226345Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9226721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9227154Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9227582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9227974Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9228122Z 
2025-08-26T21:08:39.9228230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9228623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9228975Z     return mod(**inputs)
2025-08-26T21:08:39.9229331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9229727Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9230111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9230511Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9230868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9231267Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9231664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9232082Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9232497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9233019Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9233452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9233851Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9234004Z 
2025-08-26T21:08:39.9234116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9234502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9234845Z     return mod(**inputs)
2025-08-26T21:08:39.9235224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9235628Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9236026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9236427Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9236796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9237188Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9237594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9238002Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9238399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9238809Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9239231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9239644Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9239785Z 
2025-08-26T21:08:39.9239905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9240272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9240609Z     return mod(**inputs)
2025-08-26T21:08:39.9240974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9241482Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9241876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9242259Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9242624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9243006Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9243415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9243805Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9244195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9244600Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9244996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9245405Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9245545Z 
2025-08-26T21:08:39.9245655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9246033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9246390Z     return mod(**inputs)
2025-08-26T21:08:39.9246752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9247141Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9247518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9247906Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9248265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9248650Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9264514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9265109Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9265595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9266040Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9266475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9266898Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9267066Z 
2025-08-26T21:08:39.9267161Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9267406Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9267678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9268082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9268455Z     return mod(**inputs)
2025-08-26T21:08:39.9268861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9269285Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9269786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9270203Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9270586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9270990Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9271398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9271803Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9272209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9272730Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9273148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9273561Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9273703Z 
2025-08-26T21:08:39.9273826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9274263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9274629Z     return mod(**inputs)
2025-08-26T21:08:39.9275008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9275405Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9275801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9276238Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9276622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9277021Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9277451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9277874Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9278292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9278738Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9279180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9279578Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9279733Z 
2025-08-26T21:08:39.9279848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9280243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9280604Z     return mod(**inputs)
2025-08-26T21:08:39.9280973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9281391Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9281784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9282182Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9282559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9282946Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9283353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9283760Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9284159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9284593Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9285037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9285433Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9285580Z 
2025-08-26T21:08:39.9285694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9286072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9286401Z     return mod(**inputs)
2025-08-26T21:08:39.9286762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9287154Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9287536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9287927Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9288285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9288667Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9289071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9289480Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9289867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9290306Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9290726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9291132Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9291271Z 
2025-08-26T21:08:39.9291388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9291775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9292117Z     return mod(**inputs)
2025-08-26T21:08:39.9292477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9292876Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9293255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9293642Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9294005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9294391Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9294779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9295164Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9295559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9295952Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9296342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9296732Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9296872Z 
2025-08-26T21:08:39.9296982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9297357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9297696Z     return mod(**inputs)
2025-08-26T21:08:39.9298057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9298443Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9298815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9299200Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9299580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9299964Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9300348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9300744Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9301138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9301540Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9301936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9302324Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9302474Z 
2025-08-26T21:08:39.9302584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9302964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9303306Z     return mod(**inputs)
2025-08-26T21:08:39.9303683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9304072Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9304453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9304840Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9305202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9305592Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9305980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9306398Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9306789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9307187Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9307575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9307966Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9308116Z 
2025-08-26T21:08:39.9308203Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9308429Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9308670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9309047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9309397Z     return mod(**inputs)
2025-08-26T21:08:39.9309771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9310175Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9310564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9310960Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9311333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9311731Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9312122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9312607Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9313023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9313463Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9313900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9314295Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9314603Z 
2025-08-26T21:08:39.9314729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9315120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9315469Z     return mod(**inputs)
2025-08-26T21:08:39.9315837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9316239Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9316638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9317038Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9317416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9317801Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9318204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9318719Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9319136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9319581Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9320008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9321423Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9321576Z 
2025-08-26T21:08:39.9321688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9322077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9322462Z     return mod(**inputs)
2025-08-26T21:08:39.9322843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9323232Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9323602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9323983Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9324335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9324694Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9325063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9325445Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9325819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9326232Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9326637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9327005Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9327138Z 
2025-08-26T21:08:39.9327251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9327617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9327955Z     return mod(**inputs)
2025-08-26T21:08:39.9328315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9328704Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9329085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9329469Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9329837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9330198Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9330566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9330937Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9331318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9331727Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9332156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9332540Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9332683Z 
2025-08-26T21:08:39.9332786Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9333141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9333462Z     return mod(**inputs)
2025-08-26T21:08:39.9333832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9334217Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9334599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9334986Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9335349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9335739Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9336135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9336547Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9336935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9337332Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9337717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9338104Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9338254Z 
2025-08-26T21:08:39.9338366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9338748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9339094Z     return mod(**inputs)
2025-08-26T21:08:39.9339466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9339866Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9340229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9340614Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9340979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9341370Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9341769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9342175Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9342578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9342981Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9343385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9343785Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9343947Z 
2025-08-26T21:08:39.9344070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9344450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9344801Z     return mod(**inputs)
2025-08-26T21:08:39.9345175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9345572Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9345964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9346357Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9346731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9347124Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9347524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9347919Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9348337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9348740Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9349146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9349546Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9349691Z 
2025-08-26T21:08:39.9349779Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9350038Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9350296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9350684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9351049Z     return mod(**inputs)
2025-08-26T21:08:39.9351423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9351824Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9352220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9352702Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9353077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9353470Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9353871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9354269Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9354666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9355055Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9355447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9355833Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9355968Z 
2025-08-26T21:08:39.9356085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9356450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9356786Z     return mod(**inputs)
2025-08-26T21:08:39.9357146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9357537Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9357920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9358305Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9358692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9359068Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9359454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9359839Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9360252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:08:39.9360714Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9360911Z 
2025-08-26T21:08:39.9361031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9361440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9361811Z     return mod(**inputs)
2025-08-26T21:08:39.9362213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9362615Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9363033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9363440Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9363817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9364207Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9364629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9365073Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9365494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9365967Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9366421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9366815Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9366955Z 
2025-08-26T21:08:39.9367073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9367464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9367826Z     return mod(**inputs)
2025-08-26T21:08:39.9368210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9368622Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9369023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9369415Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9369786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9370163Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9370550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9370946Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9371343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9371771Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9372192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9372581Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9372721Z 
2025-08-26T21:08:39.9372829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9373237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9373577Z     return mod(**inputs)
2025-08-26T21:08:39.9373937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9374323Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9374693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9375082Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9375444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9375824Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9376200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9376603Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9377001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9377426Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9377868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9378251Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9378398Z 
2025-08-26T21:08:39.9378505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9378878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9379236Z     return mod(**inputs)
2025-08-26T21:08:39.9379586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9379982Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9380378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9380759Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9381119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9381485Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9381870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9382262Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9382647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9383041Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9383422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9383809Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9383955Z 
2025-08-26T21:08:39.9384065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9384429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9384744Z     return mod(**inputs)
2025-08-26T21:08:39.9385104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9385487Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9385866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9386246Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9386603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9386979Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9387381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9387778Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9388161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9388557Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9388947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9389331Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9389466Z 
2025-08-26T21:08:39.9389584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9389954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9390289Z     return mod(**inputs)
2025-08-26T21:08:39.9390648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9391037Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9391412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9391803Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9392168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9392632Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9393046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9393449Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9393895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9394305Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9394734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9395121Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9395257Z 
2025-08-26T21:08:39.9395339Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9395558Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9395795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9396157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9396467Z     return mod(**inputs)
2025-08-26T21:08:39.9396832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9397220Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9397604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9397989Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9398351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9398728Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9399095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9399466Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9399824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9400196Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9400576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9400946Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9401072Z 
2025-08-26T21:08:39.9401175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9401531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9401873Z     return mod(**inputs)
2025-08-26T21:08:39.9402225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9402596Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9402965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9403334Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9403682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9404048Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9404415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9404833Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9405250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9405666Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9406098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9406458Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9406599Z 
2025-08-26T21:08:39.9406700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9407052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9407374Z     return mod(**inputs)
2025-08-26T21:08:39.9407750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9408140Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9408512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9408962Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9409333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9409703Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9410071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9410459Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9410841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9411254Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9411651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9412021Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9412162Z 
2025-08-26T21:08:39.9412269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9412626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9412950Z     return mod(**inputs)
2025-08-26T21:08:39.9413287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9413655Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9414026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9414381Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9414957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9415329Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9415709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9416148Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9416526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9416922Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9417323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9417683Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9417810Z 
2025-08-26T21:08:39.9417917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9418269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9418577Z     return mod(**inputs)
2025-08-26T21:08:39.9418917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9419289Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9419648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9420029Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9420396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9420784Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9421148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9421513Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9421906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9422277Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9422704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9423073Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9423205Z 
2025-08-26T21:08:39.9423309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9423661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9423977Z     return mod(**inputs)
2025-08-26T21:08:39.9424317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9424685Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9425033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9425400Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9425742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9426099Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9426452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9426846Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9427208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9427579Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9427950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9428326Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9428474Z 
2025-08-26T21:08:39.9428583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9428956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9429295Z     return mod(**inputs)
2025-08-26T21:08:39.9429675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9430058Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9430442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9430838Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9431205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9431583Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9431983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9432384Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9432864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9433282Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9433680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9434114Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9434270Z 
2025-08-26T21:08:39.9434364Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9434581Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9434811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9435172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9435497Z     return mod(**inputs)
2025-08-26T21:08:39.9435863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9436227Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9436579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9436969Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9437315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9437673Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9438044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9438404Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9438764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9439134Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9439497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9439857Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9439993Z 
2025-08-26T21:08:39.9440097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9440445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9440764Z     return mod(**inputs)
2025-08-26T21:08:39.9441104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9441461Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9441816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9442174Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9442515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9442864Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9443236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9443607Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9443965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:08:39.9444374Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9444554Z 
2025-08-26T21:08:39.9444654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9444997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9445308Z     return mod(**inputs)
2025-08-26T21:08:39.9445643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9446005Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9446355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9446719Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9447063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9447436Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9447795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9448180Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9448545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9448938Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9449379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9449730Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9449891Z 
2025-08-26T21:08:39.9449993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9450349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9450674Z     return mod(**inputs)
2025-08-26T21:08:39.9451012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9451382Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9451742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9452107Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9452461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9452803Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9453161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9453530Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9453911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9454316Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9454709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9455079Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9455219Z 
2025-08-26T21:08:39.9455323Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9455678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9455991Z     return mod(**inputs)
2025-08-26T21:08:39.9456331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9456694Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9457095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9457464Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9457809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9458170Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9458544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9458933Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9459319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9459728Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9460140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9460521Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9460655Z 
2025-08-26T21:08:39.9460766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9461140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9461464Z     return mod(**inputs)
2025-08-26T21:08:39.9461825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9462217Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9462575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9462953Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9463300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9463681Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9464063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9464464Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9464836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9465206Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9465576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9465964Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9466105Z 
2025-08-26T21:08:39.9466212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9466610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9466959Z     return mod(**inputs)
2025-08-26T21:08:39.9467334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9467719Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9468108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9468497Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9468858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9469244Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9469640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9470040Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9470438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9470834Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9471252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9471649Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9471786Z 
2025-08-26T21:08:39.9471904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9472276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9472698Z     return mod(**inputs)
2025-08-26T21:08:39.9473091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9473500Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9473910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9474298Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9474665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9475047Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9475459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9475858Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9476237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9476627Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9477010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9477429Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9477570Z 
2025-08-26T21:08:39.9477656Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9477882Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9478154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9478524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9478857Z     return mod(**inputs)
2025-08-26T21:08:39.9479213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9479596Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9479975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9480368Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9480720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9481101Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9481467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9481834Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9482202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9482565Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9482929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9483289Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9483417Z 
2025-08-26T21:08:39.9483525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9483865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9484184Z     return mod(**inputs)
2025-08-26T21:08:39.9484518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9484877Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9485252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9485606Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9485950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9486306Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9486669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9487053Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9487452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9487880Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9488278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9488666Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9488806Z 
2025-08-26T21:08:39.9488914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9489296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9489615Z     return mod(**inputs)
2025-08-26T21:08:39.9489955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9490325Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9490674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9491064Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9491405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9491776Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9492179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9492558Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9492939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9493342Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9493735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9494090Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9494230Z 
2025-08-26T21:08:39.9494334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9494687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9495008Z     return mod(**inputs)
2025-08-26T21:08:39.9495352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9495719Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9496070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9496424Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9496765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9497117Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9497480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9497863Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9498240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9498646Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9499056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9499429Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9499571Z 
2025-08-26T21:08:39.9499675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9500031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9500352Z     return mod(**inputs)
2025-08-26T21:08:39.9500690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9501056Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9501414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9501777Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9502115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9502472Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9502858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9503227Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9503583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9503937Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9504299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9504683Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9504813Z 
2025-08-26T21:08:39.9504923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9505273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9505609Z     return mod(**inputs)
2025-08-26T21:08:39.9505942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9506297Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9506665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9507038Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9507397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9507774Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9508157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9508541Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9508923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9509307Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9510160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9510547Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9510684Z 
2025-08-26T21:08:39.9510799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9511165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9511502Z     return mod(**inputs)
2025-08-26T21:08:39.9511860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9512248Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9512712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9513127Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9513533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9513932Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9514320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9514880Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9515281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9515678Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9516075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9516457Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9516606Z 
2025-08-26T21:08:39.9516690Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9516920Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9517172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9517593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9517924Z     return mod(**inputs)
2025-08-26T21:08:39.9518282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9518667Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9519042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9519450Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9519813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9520191Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9520607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9521002Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9521383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9521774Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9522162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9522548Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9522682Z 
2025-08-26T21:08:39.9522796Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9523162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9523505Z     return mod(**inputs)
2025-08-26T21:08:39.9523844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9524206Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9524558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9524919Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9525258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9525612Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9525975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9526341Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9526711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:08:39.9527132Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9527316Z 
2025-08-26T21:08:39.9527454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9527804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9528125Z     return mod(**inputs)
2025-08-26T21:08:39.9528462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9528829Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9529181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9529533Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9529878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9530236Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9530602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9530986Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9531392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9531804Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9532206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9532579Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9532713Z 
2025-08-26T21:08:39.9532823Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9533186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9533509Z     return mod(**inputs)
2025-08-26T21:08:39.9533853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9534238Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9534595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9534962Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9535310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9535673Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9536048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9536416Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9536791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9537195Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9537603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9537968Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9538111Z 
2025-08-26T21:08:39.9538216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9538582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9538896Z     return mod(**inputs)
2025-08-26T21:08:39.9539237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9539591Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9539945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9540301Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9540636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9541007Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9541357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9541729Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9542098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9542500Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9542893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9543268Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9543405Z 
2025-08-26T21:08:39.9543507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9543866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9544183Z     return mod(**inputs)
2025-08-26T21:08:39.9544518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9544907Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9545271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9545637Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9545976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9546340Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9546728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9547166Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9547563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9547975Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9548372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9548765Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9548904Z 
2025-08-26T21:08:39.9549019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9549389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9549729Z     return mod(**inputs)
2025-08-26T21:08:39.9550106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9550508Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9550883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9551268Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9551640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9552021Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9552406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9552896Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9553293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9553699Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9554080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9554443Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9554571Z 
2025-08-26T21:08:39.9554680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9555058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9555417Z     return mod(**inputs)
2025-08-26T21:08:39.9555788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9556189Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9556566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9556965Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9557336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9557724Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9558118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9558515Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9558918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9559322Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9559742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9560125Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9560273Z 
2025-08-26T21:08:39.9560356Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9560578Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9560826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9561220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9561547Z     return mod(**inputs)
2025-08-26T21:08:39.9561909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9562310Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9562660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9563007Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9563343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9563694Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9564047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9564410Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9564773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9565155Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9565510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9565869Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9565994Z 
2025-08-26T21:08:39.9566101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9566439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9566756Z     return mod(**inputs)
2025-08-26T21:08:39.9567093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9567457Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9567808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9568169Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9568512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9568884Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9569292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9569691Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9570069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9570473Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9570880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9571230Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9571364Z 
2025-08-26T21:08:39.9571465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9571811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9572130Z     return mod(**inputs)
2025-08-26T21:08:39.9572472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9572828Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9573215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9573568Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9573902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9574250Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9574625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9575054Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9575459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9575907Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9576319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9576711Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9576857Z 
2025-08-26T21:08:39.9576967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9577342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9577675Z     return mod(**inputs)
2025-08-26T21:08:39.9578025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9578415Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9578794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9579178Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9579536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9579914Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9580302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9580704Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9581099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9581521Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9581945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9582340Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9582481Z 
2025-08-26T21:08:39.9582603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9583006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9583337Z     return mod(**inputs)
2025-08-26T21:08:39.9583701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9584087Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9584461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9584845Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9585203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9585295Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9585537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9585623Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9585882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9585967Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9586233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9586314Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9586318Z 
2025-08-26T21:08:39.9586432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9586639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9586727Z     return mod(**inputs)
2025-08-26T21:08:39.9586981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9587057Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9587331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9587404Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9587637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9587728Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9587970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9588058Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9588298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9588384Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9588631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9588712Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9588716Z 
2025-08-26T21:08:39.9588832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9589035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9589111Z     return mod(**inputs)
2025-08-26T21:08:39.9589354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9589428Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9589676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9589748Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9589987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9590067Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9590313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9590422Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9590665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9590754Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9590991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9591079Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9591083Z 
2025-08-26T21:08:39.9591166Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9591248Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9591366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9591575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9591652Z     return mod(**inputs)
2025-08-26T21:08:39.9591903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9591979Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9592254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9592330Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9592654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9592747Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9593003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9593126Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9593379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9593493Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9593755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9593836Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9593848Z 
2025-08-26T21:08:39.9593958Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9594164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9594240Z     return mod(**inputs)
2025-08-26T21:08:39.9594488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9594575Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9594824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9594896Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9595143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9595224Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9595477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9595560Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9595806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:08:39.9595952Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9595956Z 
2025-08-26T21:08:39.9596066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9596278Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9596344Z     return mod(**inputs)
2025-08-26T21:08:39.9596599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9596691Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9596938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9597020Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9597256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9597345Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9597594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9597683Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9597919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9598035Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9598267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9598343Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9598366Z 
2025-08-26T21:08:39.9598467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9598667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9598730Z     return mod(**inputs)
2025-08-26T21:08:39.9598977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9599051Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9599329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9599402Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9599652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9599742Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9599983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9600084Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9600325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9600443Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9600688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9600772Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9600776Z 
2025-08-26T21:08:39.9600889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9601091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9601167Z     return mod(**inputs)
2025-08-26T21:08:39.9601410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9601486Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9601736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9601808Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9602046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9602125Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9602369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9602468Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9602730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9602856Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9603097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9603180Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9603191Z 
2025-08-26T21:08:39.9603296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9603497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9603567Z     return mod(**inputs)
2025-08-26T21:08:39.9603814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9603892Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9604135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9604210Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9604443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9604547Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9604779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9604858Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9605084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9605199Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9605445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9605539Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9605568Z 
2025-08-26T21:08:39.9605674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9605880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9605955Z     return mod(**inputs)
2025-08-26T21:08:39.9606201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9606284Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9606528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9606608Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9606842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9606934Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9607170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9607252Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9607487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9607569Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9607798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9607884Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9607888Z 
2025-08-26T21:08:39.9607986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9608182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9608246Z     return mod(**inputs)
2025-08-26T21:08:39.9608475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9608554Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9608805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9608887Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9609106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9609189Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9609418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9609497Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9609732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9609814Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9610048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9610129Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9610133Z 
2025-08-26T21:08:39.9610214Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9610322Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9610428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9610634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9610700Z     return mod(**inputs)
2025-08-26T21:08:39.9610954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9611037Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9611320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9611398Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9611681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9611770Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9612012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9612093Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9612342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9612421Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9612658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9612736Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9612740Z 
2025-08-26T21:08:39.9612837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9613041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9613107Z     return mod(**inputs)
2025-08-26T21:08:39.9613344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9613418Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9613645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9613723Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9613941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9614027Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9614271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9614369Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9614790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9614963Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9615216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9615299Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9615303Z 
2025-08-26T21:08:39.9615418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9615645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9615713Z     return mod(**inputs)
2025-08-26T21:08:39.9615966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9616042Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9616300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9616373Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9616613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9616735Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9616989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9617091Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9617342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9617469Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9617755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9617839Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9617878Z 
2025-08-26T21:08:39.9617993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9618250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9618324Z     return mod(**inputs)
2025-08-26T21:08:39.9618580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9618653Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9618914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9618985Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9619218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9619298Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9619544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9619638Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9619878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9620007Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9620244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9620333Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9620337Z 
2025-08-26T21:08:39.9620442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9620644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9620722Z     return mod(**inputs)
2025-08-26T21:08:39.9620964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9621048Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9621310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9621386Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9621622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9621702Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9621948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9622031Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9622280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9622364Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9622603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9622695Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9622699Z 
2025-08-26T21:08:39.9622806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9623057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9623126Z     return mod(**inputs)
2025-08-26T21:08:39.9623370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9623448Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9623677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9623771Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9623987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9624080Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9624318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9624396Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9624631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9624710Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9624942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9625016Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9625021Z 
2025-08-26T21:08:39.9625121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9625323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9625386Z     return mod(**inputs)
2025-08-26T21:08:39.9625626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9625697Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9625927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9626003Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9626221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9626302Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9626528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9626607Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9626843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9626925Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9627188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9627271Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9627276Z 
2025-08-26T21:08:39.9627367Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9627447Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9627552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9627760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9627825Z     return mod(**inputs)
2025-08-26T21:08:39.9628072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9628147Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9628389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9628471Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9628699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9628803Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9629047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9629129Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9629375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9629458Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9629742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9629823Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9629845Z 
2025-08-26T21:08:39.9629962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9630171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9630239Z     return mod(**inputs)
2025-08-26T21:08:39.9630502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9630576Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9630831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9630904Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9631137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9631227Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9631475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9631566Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9631813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9631898Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9632152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9632232Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9632236Z 
2025-08-26T21:08:39.9632350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9632612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9632698Z     return mod(**inputs)
2025-08-26T21:08:39.9632948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9633023Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9633305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9633382Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9633627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9633708Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9633959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9634048Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9634272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9634359Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9634586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9634663Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9634675Z 
2025-08-26T21:08:39.9634755Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9634831Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9634956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9635152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9635223Z     return mod(**inputs)
2025-08-26T21:08:39.9635452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9635522Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9635776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9635844Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9636065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9636160Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9636390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9636477Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9636703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9636789Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9637018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9637094Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9637105Z 
2025-08-26T21:08:39.9637204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9637397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9637469Z     return mod(**inputs)
2025-08-26T21:08:39.9637708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9637785Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9638011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9638078Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9638299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9638374Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9638608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9638687Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9638913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9639022Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9639249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9639331Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9639334Z 
2025-08-26T21:08:39.9639433Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9639624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9639696Z     return mod(**inputs)
2025-08-26T21:08:39.9639923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9640001Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9640229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9640306Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9640522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9640597Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9640848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9640928Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9641163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9641242Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9641469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9641571Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9641574Z 
2025-08-26T21:08:39.9641673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9641891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9641956Z     return mod(**inputs)
2025-08-26T21:08:39.9642187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9642265Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9642492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9642568Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9642785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9642870Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9643097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9643180Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9643429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:08:39.9643567Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9643573Z 
2025-08-26T21:08:39.9643685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9643887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9643955Z     return mod(**inputs)
2025-08-26T21:08:39.9644208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9644283Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9644531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9644602Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9644840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9644937Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9645185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9645282Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9645510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9645628Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9645855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9645934Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9645937Z 
2025-08-26T21:08:39.9646045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9646238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9646310Z     return mod(**inputs)
2025-08-26T21:08:39.9646555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9646626Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9646862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9646931Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9647149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9647225Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9647484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9647575Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9647839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9647967Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9648218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9648302Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9648306Z 
2025-08-26T21:08:39.9648406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9648600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9648670Z     return mod(**inputs)
2025-08-26T21:08:39.9648919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:08:39.9649000Z     encoder_outputs = self.encoder(
2025-08-26T21:08:39.9649248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9649332Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9649567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9649648Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9649899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9649992Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9650246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9650360Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9650592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9650680Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9650683Z 
2025-08-26T21:08:39.9650802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9651001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9651066Z     return mod(**inputs)
2025-08-26T21:08:39.9651295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9651372Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9651603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9651681Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9651900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9651981Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9652211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9652293Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9652557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9652646Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9652895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9652973Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9652977Z 
2025-08-26T21:08:39.9653083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9653320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9653383Z     return mod(**inputs)
2025-08-26T21:08:39.9653623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9653716Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9653949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9654027Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9654245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9654326Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9654568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9654657Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9654902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9654988Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9655239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9655324Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9655327Z 
2025-08-26T21:08:39.9655416Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9655500Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9655606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9655817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9655883Z     return mod(**inputs)
2025-08-26T21:08:39.9656134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9656211Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9656455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9656534Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9656787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9656875Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9657114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9657203Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9657440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9657525Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9657772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9657853Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9657857Z 
2025-08-26T21:08:39.9657970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9658171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9658239Z     return mod(**inputs)
2025-08-26T21:08:39.9658489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9658581Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9658833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9658905Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9659131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9659216Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9659470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9659568Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9659825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9659952Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9660191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9660273Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9660277Z 
2025-08-26T21:08:39.9660389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9660590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9660661Z     return mod(**inputs)
2025-08-26T21:08:39.9660903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9660975Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9661225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9661301Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9661535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9661617Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9661859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9661959Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9662200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9662328Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9662569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9662661Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9662665Z 
2025-08-26T21:08:39.9662792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9662996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9663073Z     return mod(**inputs)
2025-08-26T21:08:39.9663315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9663393Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9663635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9663707Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9663943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9664022Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9664269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9664365Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9664632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9664751Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9664992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9665084Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9665088Z 
2025-08-26T21:08:39.9665196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9665430Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9665497Z     return mod(**inputs)
2025-08-26T21:08:39.9665742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9665845Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9666090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9666173Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9666408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9666489Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9666744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9666827Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9667079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9667163Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9667417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9667498Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9667502Z 
2025-08-26T21:08:39.9667608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9667821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9667887Z     return mod(**inputs)
2025-08-26T21:08:39.9668143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9668216Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9668463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9668545Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9668777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9668865Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9669141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9669229Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9669485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9669572Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9669826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9669905Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9669910Z 
2025-08-26T21:08:39.9670027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9670233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9670304Z     return mod(**inputs)
2025-08-26T21:08:39.9670564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9670641Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9670919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9670996Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9671229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9671319Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9671570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9671684Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9671935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9672041Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9672298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9672382Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9672386Z 
2025-08-26T21:08:39.9672480Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9672653Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9672777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9672991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9673062Z     return mod(**inputs)
2025-08-26T21:08:39.9673332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9673410Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9673670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9673749Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9673988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9674080Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9674329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9674421Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9674668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9674756Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9675013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9675094Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9675100Z 
2025-08-26T21:08:39.9675217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9675458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9675536Z     return mod(**inputs)
2025-08-26T21:08:39.9675788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9675862Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9676116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9676189Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9676430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9676513Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9676760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9676858Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9677104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9677221Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9677469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9677552Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9677562Z 
2025-08-26T21:08:39.9677671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9677875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9677977Z     return mod(**inputs)
2025-08-26T21:08:39.9678228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9678332Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9678585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9678662Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9678907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9678987Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9679242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9679327Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9679571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9679671Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9679921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9680013Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9680017Z 
2025-08-26T21:08:39.9680124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9680340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9680410Z     return mod(**inputs)
2025-08-26T21:08:39.9680662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9680745Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9680993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9681076Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9681309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9681392Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9681667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9681753Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9682006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9682094Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9682337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9682427Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9682431Z 
2025-08-26T21:08:39.9682517Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9682608Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9682714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9682921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9682999Z     return mod(**inputs)
2025-08-26T21:08:39.9683250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9683352Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9683610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9683692Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9683921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9684001Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9684266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9684347Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9684591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9684696Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9684938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9685025Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9685030Z 
2025-08-26T21:08:39.9685134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9685344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9685410Z     return mod(**inputs)
2025-08-26T21:08:39.9685651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9685734Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9685976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9686056Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9686287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9686376Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9686616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9686709Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9686955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9687074Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9687321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9687403Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9687408Z 
2025-08-26T21:08:39.9687512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9687742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9687812Z     return mod(**inputs)
2025-08-26T21:08:39.9688067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9688143Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9688392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9688464Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9688690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9688777Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9689017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9689117Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9689364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9689505Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9689760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9689842Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9689846Z 
2025-08-26T21:08:39.9689957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9690159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9690243Z     return mod(**inputs)
2025-08-26T21:08:39.9690490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9690582Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9690833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9690905Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9691141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9691219Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9691460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9691560Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9691799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9691924Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9692160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9692245Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9692248Z 
2025-08-26T21:08:39.9692360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9692564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9692637Z     return mod(**inputs)
2025-08-26T21:08:39.9692900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9692974Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9693244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9693319Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9693570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9693649Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9693979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9694059Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9694288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9694376Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9694604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9694686Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9694691Z 
2025-08-26T21:08:39.9694790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9694986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9695059Z     return mod(**inputs)
2025-08-26T21:08:39.9695295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9695371Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9695625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9695703Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9695920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9695994Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9696227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9696328Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9696560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9696665Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9696894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9696978Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9696983Z 
2025-08-26T21:08:39.9697088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9697304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9697371Z     return mod(**inputs)
2025-08-26T21:08:39.9697624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9697705Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9697948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9698030Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9698258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9698348Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9698590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9698672Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9698925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9699008Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9699268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9699349Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9699352Z 
2025-08-26T21:08:39.9699434Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9699524Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9699630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9699868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9699938Z     return mod(**inputs)
2025-08-26T21:08:39.9700192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9700273Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9700514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9700589Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9700804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9700880Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9701116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9701195Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9701431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9701526Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9701762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9701836Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9701839Z 
2025-08-26T21:08:39.9701937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9702136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9702222Z     return mod(**inputs)
2025-08-26T21:08:39.9702460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9702531Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9702779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9702856Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9703070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9703151Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9703378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9703453Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9703687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:08:39.9703818Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9703821Z 
2025-08-26T21:08:39.9703925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9704119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9704189Z     return mod(**inputs)
2025-08-26T21:08:39.9704419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9704489Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9704726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9704794Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9705015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9705091Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9705316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9705400Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9705644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9705733Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9705961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9706043Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9706046Z 
2025-08-26T21:08:39.9706145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9706338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9706413Z     return mod(**inputs)
2025-08-26T21:08:39.9706659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9706740Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9706981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9707056Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9707320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9707401Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9707651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9707733Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9707976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9708088Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9708326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9708411Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9708444Z 
2025-08-26T21:08:39.9708553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9708764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9708834Z     return mod(**inputs)
2025-08-26T21:08:39.9709077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9709160Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9709405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9709486Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9709718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9709795Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9710045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9710130Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9710380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9710465Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9710704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9710798Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9710802Z 
2025-08-26T21:08:39.9710882Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9710972Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9711079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9711285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9711354Z     return mod(**inputs)
2025-08-26T21:08:39.9711623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9711708Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9711957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9712039Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9712266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9712344Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9712661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9712755Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9713013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9713104Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9713354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9713443Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9713471Z 
2025-08-26T21:08:39.9713584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9713799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9713878Z     return mod(**inputs)
2025-08-26T21:08:39.9714129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9714225Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9714664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9714754Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9715035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9715123Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9715369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9715464Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9715717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9715838Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9716087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9716169Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9716173Z 
2025-08-26T21:08:39.9716283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9716488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9716557Z     return mod(**inputs)
2025-08-26T21:08:39.9716810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9716883Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9717133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9717205Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9717435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9717522Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9717765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9717864Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9718159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9718283Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9718533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9718616Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9718620Z 
2025-08-26T21:08:39.9718732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9718934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9719008Z     return mod(**inputs)
2025-08-26T21:08:39.9719257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9719331Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9719584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9719661Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9719918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9720000Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9720237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9720337Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9720578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9720738Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9720977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9721079Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9721090Z 
2025-08-26T21:08:39.9721195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9721398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9721471Z     return mod(**inputs)
2025-08-26T21:08:39.9721715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9721794Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9722039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9722111Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9722348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9722426Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9722680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9722763Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9722991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9723080Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9723307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9723391Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9723394Z 
2025-08-26T21:08:39.9723493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9723693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9723757Z     return mod(**inputs)
2025-08-26T21:08:39.9723984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9724063Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9724311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9724389Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9724610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9724685Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9724923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9725001Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9725239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9725321Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9725548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9725634Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9725637Z 
2025-08-26T21:08:39.9725737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9725964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9726033Z     return mod(**inputs)
2025-08-26T21:08:39.9726274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9726356Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9726597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9726696Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9726923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9727025Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9727265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9727348Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9727594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9727685Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9727915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9727989Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9727994Z 
2025-08-26T21:08:39.9728070Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9728154Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9728253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9728451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9728517Z     return mod(**inputs)
2025-08-26T21:08:39.9728745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9728823Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9729051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9729125Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9729339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9729428Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9729666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9729746Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9730012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9730098Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9730348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9730426Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9730430Z 
2025-08-26T21:08:39.9730535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9730749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9730810Z     return mod(**inputs)
2025-08-26T21:08:39.9731048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9731118Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9731345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9731424Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9731641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9731740Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9731973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9732058Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9732287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9732367Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9732630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9732710Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9732731Z 
2025-08-26T21:08:39.9732844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9733046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9733112Z     return mod(**inputs)
2025-08-26T21:08:39.9733363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9733436Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9733682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9733754Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9733978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9734068Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9734306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9734398Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9734638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9734732Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9734972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9735050Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9735053Z 
2025-08-26T21:08:39.9735168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9735369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9735446Z     return mod(**inputs)
2025-08-26T21:08:39.9735689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9735764Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9736037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9736113Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9736353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9736431Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9736675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9736764Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9737013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9737112Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9737366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9737456Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9737461Z 
2025-08-26T21:08:39.9737553Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9737633Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9737765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9737969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9738042Z     return mod(**inputs)
2025-08-26T21:08:39.9738296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9738373Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9738648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9738723Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9738965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9739069Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9739322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9739412Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9739661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9739756Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9740004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9740093Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9740099Z 
2025-08-26T21:08:39.9740206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9740417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9740495Z     return mod(**inputs)
2025-08-26T21:08:39.9740747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9740831Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9741083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9741156Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9741403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9741483Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9741743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9741826Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9742073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-26T21:08:39.9742246Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9742250Z 
2025-08-26T21:08:39.9742359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9742579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9742647Z     return mod(**inputs)
2025-08-26T21:08:39.9742906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9742983Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9743233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9743319Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9743551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9743640Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9743892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9744017Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9744275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9744398Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9744651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9744735Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9744794Z 
2025-08-26T21:08:39.9744911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9745119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9745206Z     return mod(**inputs)
2025-08-26T21:08:39.9745468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9745543Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9745802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9745876Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9746109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9746197Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9746445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9746548Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9746795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9746922Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9747178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9747267Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9747271Z 
2025-08-26T21:08:39.9747386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9747596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9747671Z     return mod(**inputs)
2025-08-26T21:08:39.9747923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9748002Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9748262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9748338Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9748596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9748680Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9748929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9749030Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9749278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9749404Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9749653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9749743Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9749746Z 
2025-08-26T21:08:39.9749856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9750069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9750146Z     return mod(**inputs)
2025-08-26T21:08:39.9750415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9750503Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9750757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9750832Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9751081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9751183Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9751440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9751545Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9751795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9751893Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9752141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9752230Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9752234Z 
2025-08-26T21:08:39.9752342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9752852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9752933Z     return mod(**inputs)
2025-08-26T21:08:39.9753186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9753272Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9753528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9753613Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9753853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9753934Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9754196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9754281Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9754542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9754631Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9754891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9754983Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9754988Z 
2025-08-26T21:08:39.9755128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9755350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9755418Z     return mod(**inputs)
2025-08-26T21:08:39.9755688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9755764Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9756026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9756111Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9756353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9756442Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9756686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9756763Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9757017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9757098Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9757345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9757424Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9757427Z 
2025-08-26T21:08:39.9757519Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9757622Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9757727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9757938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9758027Z     return mod(**inputs)
2025-08-26T21:08:39.9758286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9758362Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9758616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9758697Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9758933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9759018Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9759268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9759349Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9759611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9759694Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9759946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9760022Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9760025Z 
2025-08-26T21:08:39.9760123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9760321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9760383Z     return mod(**inputs)
2025-08-26T21:08:39.9760638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9760713Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9760973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9761046Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9761298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9761382Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9761612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9761694Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9761922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9762003Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9762239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9762316Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9762320Z 
2025-08-26T21:08:39.9762423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9762614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9762679Z     return mod(**inputs)
2025-08-26T21:08:39.9762932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9763005Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9763245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9763312Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9763538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9763628Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9763860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9763943Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9764188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9764276Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9764507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9764581Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9764585Z 
2025-08-26T21:08:39.9764690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9764880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9764949Z     return mod(**inputs)
2025-08-26T21:08:39.9765180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9765250Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9765490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9765568Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9765807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9765885Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9766132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9766212Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9766450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9766545Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9766784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9766867Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9766873Z 
2025-08-26T21:08:39.9766954Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9767062Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9767177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9767382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9767457Z     return mod(**inputs)
2025-08-26T21:08:39.9767700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9767774Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9768026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9768102Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9768350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9768432Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9768686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9768768Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9769033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9769131Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9769385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9769470Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9769499Z 
2025-08-26T21:08:39.9769605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9769808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9769882Z     return mod(**inputs)
2025-08-26T21:08:39.9770148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9770229Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9770475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9770548Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9770787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9770863Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9771111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9771206Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9771456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9771577Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9771818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9771910Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9771914Z 
2025-08-26T21:08:39.9772019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9772228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9772296Z     return mod(**inputs)
2025-08-26T21:08:39.9772541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9772624Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9772869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9772947Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9773197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9773277Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9773528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9773623Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9773869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9773980Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9774212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9774296Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9774300Z 
2025-08-26T21:08:39.9774404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9774613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9774679Z     return mod(**inputs)
2025-08-26T21:08:39.9774943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9775019Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9775260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9775342Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9775569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9775674Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9775914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9776011Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9776273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9776390Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9776640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9776721Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9776725Z 
2025-08-26T21:08:39.9776835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9777039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9777105Z     return mod(**inputs)
2025-08-26T21:08:39.9777358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9777432Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9777689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9777762Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9777994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9778080Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9778323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9778422Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9778664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-26T21:08:39.9778806Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-26T21:08:39.9778810Z 
2025-08-26T21:08:39.9778916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9779122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9779219Z     return mod(**inputs)
2025-08-26T21:08:39.9779467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9779551Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9779796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9779869Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9780106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9780186Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9780438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9780521Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9780775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9780861Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9781123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9781213Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9781217Z 
2025-08-26T21:08:39.9781322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9781530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9781597Z     return mod(**inputs)
2025-08-26T21:08:39.9781839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9781940Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9782184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9782283Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9782515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9782598Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9782851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9782933Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9783182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9783266Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9783517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9783596Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9783601Z 
2025-08-26T21:08:39.9783704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9783917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9783983Z     return mod(**inputs)
2025-08-26T21:08:39.9784238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9784313Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9784556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9784637Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9784866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9784955Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9785196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9785280Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9785552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9785640Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9785884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9785963Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9785966Z 
2025-08-26T21:08:39.9786054Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9786134Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9786240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9786450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9786518Z     return mod(**inputs)
2025-08-26T21:08:39.9786766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9786845Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9787106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9787188Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9787415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9787501Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9787743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9787843Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9788089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9788172Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9788447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9788524Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9788528Z 
2025-08-26T21:08:39.9788639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9788840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9788907Z     return mod(**inputs)
2025-08-26T21:08:39.9789156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9789230Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9789481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9789552Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9789778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9789871Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9790113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9790204Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9790442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9790529Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9790779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9790861Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9790865Z 
2025-08-26T21:08:39.9790978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9791185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9791263Z     return mod(**inputs)
2025-08-26T21:08:39.9791531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9791610Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9791868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9791941Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9792183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9792264Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9792585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9792694Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9792945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9793046Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9793294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9793405Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9793416Z 
2025-08-26T21:08:39.9793527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9793737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9793815Z     return mod(**inputs)
2025-08-26T21:08:39.9794067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9794187Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9794441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9794538Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9794787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9794869Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9795129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9795214Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9795460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9795556Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9795801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9795895Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9795898Z 
2025-08-26T21:08:39.9795982Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9796065Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9796185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9796395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9796474Z     return mod(**inputs)
2025-08-26T21:08:39.9796726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9796803Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9797060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9797134Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9797380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9797459Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9797719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9797820Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9798075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9798170Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9798418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9798507Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9798511Z 
2025-08-26T21:08:39.9798620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9798829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9798907Z     return mod(**inputs)
2025-08-26T21:08:39.9799161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9799247Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9799502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9799603Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9799842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9799922Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9800176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9800270Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9800548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9800673Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9800940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9801032Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9801036Z 
2025-08-26T21:08:39.9801146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9801361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9801430Z     return mod(**inputs)
2025-08-26T21:08:39.9801681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9801765Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9802010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9802093Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9802325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9802415Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9802663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9802761Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9803015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9803137Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9803390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9803475Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9803479Z 
2025-08-26T21:08:39.9803587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9803803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9803873Z     return mod(**inputs)
2025-08-26T21:08:39.9804150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9804229Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9804480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9804563Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9804790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9804871Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9805096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9805190Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9805415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9805530Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9805779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9805857Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9805860Z 
2025-08-26T21:08:39.9805965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9806156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9806221Z     return mod(**inputs)
2025-08-26T21:08:39.9806462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9806550Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9806784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9806899Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9807127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9807201Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9807432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9807519Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9807752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9807844Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9808087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9808167Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9808170Z 
2025-08-26T21:08:39.9808286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9808493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9808568Z     return mod(**inputs)
2025-08-26T21:08:39.9808816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9808890Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9809140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9809212Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9809446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9809529Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9809783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9809866Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9810121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9810213Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9810440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9810522Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9810526Z 
2025-08-26T21:08:39.9810626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9810813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9810887Z     return mod(**inputs)
2025-08-26T21:08:39.9811128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9811209Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9811454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9811526Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9811779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9811862Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9812109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9812192Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9812441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9812553Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9812792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9812924Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9812928Z 
2025-08-26T21:08:39.9813011Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9813100Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9813219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9813429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9813507Z     return mod(**inputs)
2025-08-26T21:08:39.9813759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9813843Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9814105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9814180Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9814407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9814614Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9814856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9814941Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9815176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9815260Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9815488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9815573Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9815578Z 
2025-08-26T21:08:39.9815683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9815885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9815952Z     return mod(**inputs)
2025-08-26T21:08:39.9816233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9816315Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9816544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9816621Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9816837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9816917Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9817155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9817234Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9817470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:08:39.9817602Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9817605Z 
2025-08-26T21:08:39.9817714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9817941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9818010Z     return mod(**inputs)
2025-08-26T21:08:39.9818265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9818340Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9818600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9818704Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9818945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9819058Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9819299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9819387Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9819650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9819735Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9819991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9820073Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9820077Z 
2025-08-26T21:08:39.9820192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9820397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9820472Z     return mod(**inputs)
2025-08-26T21:08:39.9820717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9820792Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9821041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9821114Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9821357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9821436Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9821675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9821765Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9822011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9822107Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9822379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9822462Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9822474Z 
2025-08-26T21:08:39.9822582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9822787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9822862Z     return mod(**inputs)
2025-08-26T21:08:39.9823118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9823198Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9823450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9823524Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9823767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9823850Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9824129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9824213Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9824452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9824546Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9824795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9824902Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9824906Z 
2025-08-26T21:08:39.9824989Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9825077Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9825204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9825407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9825482Z     return mod(**inputs)
2025-08-26T21:08:39.9825742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9825838Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9826096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9826182Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9826419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9826502Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9826763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9826850Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9827101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9827200Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9827445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9827535Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9827538Z 
2025-08-26T21:08:39.9827648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9827864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9827936Z     return mod(**inputs)
2025-08-26T21:08:39.9828182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9828269Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9828540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9828623Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9828853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9828931Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9829183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9829278Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9829524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9829650Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9829892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9829982Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9829987Z 
2025-08-26T21:08:39.9830091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9830318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9830387Z     return mod(**inputs)
2025-08-26T21:08:39.9830639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9830713Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9830957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9831056Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9831284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9831368Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9831637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9831733Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9831993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9832118Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9832372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9832457Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9832461Z 
2025-08-26T21:08:39.9832637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9832860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9832929Z     return mod(**inputs)
2025-08-26T21:08:39.9833188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9833266Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9833526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9833602Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9833842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9833928Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9834171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9834273Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9834514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9834634Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9834907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9834992Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9834998Z 
2025-08-26T21:08:39.9835113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9835320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9835395Z     return mod(**inputs)
2025-08-26T21:08:39.9835640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9835715Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9835969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9836043Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9836281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9836361Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9836634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9836728Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9836969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9837064Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9837303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9837405Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9837409Z 
2025-08-26T21:08:39.9837525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9837736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9837835Z     return mod(**inputs)
2025-08-26T21:08:39.9838095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9838180Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9838424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9838496Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9838730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9838808Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9839058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9839139Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9839379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9839475Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9839717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9839804Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9839807Z 
2025-08-26T21:08:39.9839913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9840118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9840194Z     return mod(**inputs)
2025-08-26T21:08:39.9840433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9840519Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9840762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9840842Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9841088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9841170Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9841418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9841499Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9841748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9841831Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9842072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9842158Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9842162Z 
2025-08-26T21:08:39.9842246Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9842334Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9842439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9842664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9842739Z     return mod(**inputs)
2025-08-26T21:08:39.9842984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9843067Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9843311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9843402Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9843646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9843725Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9843991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9844074Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9844324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9844409Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9844648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9844735Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9844739Z 
2025-08-26T21:08:39.9844846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9845060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9845125Z     return mod(**inputs)
2025-08-26T21:08:39.9845366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9845451Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9845695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9845777Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9846003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9846086Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9846326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9846411Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9846655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9846741Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9847010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9847092Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9847096Z 
2025-08-26T21:08:39.9847202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9847412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9847479Z     return mod(**inputs)
2025-08-26T21:08:39.9847726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9847800Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9848046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9848126Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9848352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9848442Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9848679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9848786Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9849030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9849115Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9849361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9849459Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9849463Z 
2025-08-26T21:08:39.9849578Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9849783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9849869Z     return mod(**inputs)
2025-08-26T21:08:39.9850124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9850198Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9850452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9850525Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9850752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9850838Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9851079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9851172Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9851412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9851510Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9851752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9851833Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9851837Z 
2025-08-26T21:08:39.9851926Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9852007Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9852118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9852322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9852393Z     return mod(**inputs)
2025-08-26T21:08:39.9852650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9852726Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9852983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9853076Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9853307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9853397Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9853637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9853725Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9853963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9854059Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9854299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9854380Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9854383Z 
2025-08-26T21:08:39.9854495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9854699Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9854793Z     return mod(**inputs)
2025-08-26T21:08:39.9855038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9855113Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9855362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9855434Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9855688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9855766Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9856006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9856117Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9856356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-26T21:08:39.9856501Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9856505Z 
2025-08-26T21:08:39.9856608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9856819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9856885Z     return mod(**inputs)
2025-08-26T21:08:39.9857130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9857215Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9857456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9857536Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9857768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9857849Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9858096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9858189Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9858437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9858558Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9858798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9858889Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9858894Z 
2025-08-26T21:08:39.9858998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9859242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9859312Z     return mod(**inputs)
2025-08-26T21:08:39.9859565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9859639Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9859881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9859962Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9860189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9860277Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9860518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9860613Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9860861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9861000Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9861248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9861332Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9861336Z 
2025-08-26T21:08:39.9861447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9861648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9861735Z     return mod(**inputs)
2025-08-26T21:08:39.9861986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9862078Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9862328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9862403Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9862631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9862715Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9862955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9863052Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9863297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9863413Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9863658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9863742Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9863745Z 
2025-08-26T21:08:39.9863859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9864062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9864137Z     return mod(**inputs)
2025-08-26T21:08:39.9864378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9864453Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9864703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9864779Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9865016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9865096Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9865362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9865458Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9865697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9865791Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9866030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9866108Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9866119Z 
2025-08-26T21:08:39.9866226Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9866430Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9866507Z     return mod(**inputs)
2025-08-26T21:08:39.9866751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9866832Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9867089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9867164Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9867396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9867475Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9867719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9867820Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9868066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9868180Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9868431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9868521Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9868525Z 
2025-08-26T21:08:39.9868635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9868855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9868924Z     return mod(**inputs)
2025-08-26T21:08:39.9869182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9869268Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9869521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9869603Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9869847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9869929Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9870195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9870279Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9870539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9870625Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9870876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9870967Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9870971Z 
2025-08-26T21:08:39.9871054Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9871143Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9871254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9871484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9871564Z     return mod(**inputs)
2025-08-26T21:08:39.9871818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9871904Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9872153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9872234Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9872470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9872627Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9872894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9872984Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9873239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9873349Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9873603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9873693Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9873697Z 
2025-08-26T21:08:39.9873807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9874028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9874118Z     return mod(**inputs)
2025-08-26T21:08:39.9874374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9874480Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9874729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9874813Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9875049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9875139Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9875384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9875467Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9875722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9875813Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9876065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9876150Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9876155Z 
2025-08-26T21:08:39.9876262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9876477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9876545Z     return mod(**inputs)
2025-08-26T21:08:39.9876801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9876877Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9877124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9877208Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9877442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9877529Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9877798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9877892Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9878139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9878229Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9878484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9878563Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9878567Z 
2025-08-26T21:08:39.9878681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9878892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9878961Z     return mod(**inputs)
2025-08-26T21:08:39.9879220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9879300Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9879575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9879655Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9879898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9879979Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9880227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9880339Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9880584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9880678Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9880960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9881042Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9881046Z 
2025-08-26T21:08:39.9881142Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9881224Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9881343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9881554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9881623Z     return mod(**inputs)
2025-08-26T21:08:39.9881882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9881961Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9882219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9882297Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9882534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9882623Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9882882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9882971Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9883212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9883305Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9883548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9883626Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9883630Z 
2025-08-26T21:08:39.9883750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9883968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9884045Z     return mod(**inputs)
2025-08-26T21:08:39.9884301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9884371Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9884611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9884680Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9884901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9884976Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9885205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9885303Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9885539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9885682Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9885925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9886013Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9886017Z 
2025-08-26T21:08:39.9886130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9886323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9886413Z     return mod(**inputs)
2025-08-26T21:08:39.9886643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9886722Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9886967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9887037Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9887260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9887334Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9887567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9887655Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9887890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9888005Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9888230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9888317Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9888322Z 
2025-08-26T21:08:39.9888422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9888620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9888683Z     return mod(**inputs)
2025-08-26T21:08:39.9888910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9888988Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9889215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9889291Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9889503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9889575Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9889826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9889914Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9890147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9890257Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9890489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9890565Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9890569Z 
2025-08-26T21:08:39.9890669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9890864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9890925Z     return mod(**inputs)
2025-08-26T21:08:39.9891166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9891236Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9891481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9891558Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9891771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9891851Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9892076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9892191Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9892415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-26T21:08:39.9892563Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-26T21:08:39.9892567Z 
2025-08-26T21:08:39.9892676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9892871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9892943Z     return mod(**inputs)
2025-08-26T21:08:39.9893174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9893243Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9893482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9893553Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9893776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9893851Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9894093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9894183Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9894425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9894518Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9894758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9894846Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9894850Z 
2025-08-26T21:08:39.9894957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9895161Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9895235Z     return mod(**inputs)
2025-08-26T21:08:39.9895477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9895578Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9895825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9895910Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9896136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9896213Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9896449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9896533Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9896778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9896872Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9897116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9897200Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9897204Z 
2025-08-26T21:08:39.9897327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9897535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9897601Z     return mod(**inputs)
2025-08-26T21:08:39.9897843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9897925Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9898167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9898266Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9898501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9898603Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9898865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9898950Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9899204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9899288Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9899536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9899634Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9899640Z 
2025-08-26T21:08:39.9899718Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9899801Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9899901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9900106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9900169Z     return mod(**inputs)
2025-08-26T21:08:39.9900417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9900502Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9900752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9900832Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9901070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9901155Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9901418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9901500Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9901777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9901864Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9902122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9902207Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9902211Z 
2025-08-26T21:08:39.9902317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9902535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9902601Z     return mod(**inputs)
2025-08-26T21:08:39.9902873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9902947Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9903211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9903294Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9903550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9903638Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9903888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9903970Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9904229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9904351Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9904604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9904683Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9904710Z 
2025-08-26T21:08:39.9904826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9905041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9905110Z     return mod(**inputs)
2025-08-26T21:08:39.9905367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9905441Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9905705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9905777Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9906021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9906107Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9906362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9906456Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9906738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9906823Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9907082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9907159Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9907163Z 
2025-08-26T21:08:39.9907276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9907490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9907559Z     return mod(**inputs)
2025-08-26T21:08:39.9907824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9907900Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9908183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9908260Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9908516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9908596Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9908849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9908938Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9909189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9909283Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9909536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9909619Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9909623Z 
2025-08-26T21:08:39.9909714Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9909814Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9909934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9910153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9910222Z     return mod(**inputs)
2025-08-26T21:08:39.9910499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9910618Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9910877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9910948Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9911216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9911294Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9911581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9911673Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9911936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9912033Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9912292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9912376Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9912380Z 
2025-08-26T21:08:39.9912496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9912803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9912896Z     return mod(**inputs)
2025-08-26T21:08:39.9913165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9913244Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9913517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9913593Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9913843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9913923Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9914196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9914302Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9914768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9914903Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9915157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9915250Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9915255Z 
2025-08-26T21:08:39.9915366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9915584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9915666Z     return mod(**inputs)
2025-08-26T21:08:39.9915925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9916013Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9916261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9916341Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9916586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9916694Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9916951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9917045Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9917308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9917457Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9917708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9917799Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9917830Z 
2025-08-26T21:08:39.9917936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9918144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9918213Z     return mod(**inputs)
2025-08-26T21:08:39.9918466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9918548Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9918804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9918884Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9919126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9919210Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9919459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9919553Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9919802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9919917Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9920174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9920255Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9920259Z 
2025-08-26T21:08:39.9920364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9920575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9920642Z     return mod(**inputs)
2025-08-26T21:08:39.9920896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9920971Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9921256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9921340Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9921579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9921666Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9921919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9922010Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9922262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9922348Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9922607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9922689Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9922693Z 
2025-08-26T21:08:39.9922808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9923029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9923098Z     return mod(**inputs)
2025-08-26T21:08:39.9923364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9923439Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9923698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9923786Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9924005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9924107Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9924392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9924483Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9924721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9924811Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9925061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9925139Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9925144Z 
2025-08-26T21:08:39.9925255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9925455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9925528Z     return mod(**inputs)
2025-08-26T21:08:39.9925772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9925846Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9926106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9926179Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9926416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9926494Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9926749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9926833Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9927083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9927175Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9927441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9927530Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9927536Z 
2025-08-26T21:08:39.9927617Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9927696Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9927809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9928013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9928085Z     return mod(**inputs)
2025-08-26T21:08:39.9928332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9928403Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9928643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9928714Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9928934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9929036Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9929265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9929346Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9929572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9929660Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9929904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9929984Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9930004Z 
2025-08-26T21:08:39.9930105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9930297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9930368Z     return mod(**inputs)
2025-08-26T21:08:39.9930649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9930732Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9930986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9931059Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9931301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9931384Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9931636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9931718Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9931966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:08:39.9932106Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9932110Z 
2025-08-26T21:08:39.9932208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9932405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9932468Z     return mod(**inputs)
2025-08-26T21:08:39.9932707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9932778Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9933008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9933085Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9933317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9933401Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9933630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9933709Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9933941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9934021Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9934255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9934332Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9934335Z 
2025-08-26T21:08:39.9934441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9934636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9934699Z     return mod(**inputs)
2025-08-26T21:08:39.9934953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9935024Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9935260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9935328Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9935547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9935648Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9935879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9935979Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9936208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9936289Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9936527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9936600Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9936604Z 
2025-08-26T21:08:39.9936711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9936915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9936992Z     return mod(**inputs)
2025-08-26T21:08:39.9937236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9937310Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9937565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9937639Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9937876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9937957Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9938199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9938288Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9938530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9938625Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9938864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9938942Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9938951Z 
2025-08-26T21:08:39.9939049Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9939129Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9939236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9939429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9939503Z     return mod(**inputs)
2025-08-26T21:08:39.9939733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9939806Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9940057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9940133Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9940366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9940447Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9940690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9940796Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9941038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9941135Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9941373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9941453Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9941482Z 
2025-08-26T21:08:39.9941588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9941790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9941883Z     return mod(**inputs)
2025-08-26T21:08:39.9942128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9942210Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9942455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9942527Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9942761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9942839Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9943089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9943184Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9943427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9943559Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9943801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9943891Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9943895Z 
2025-08-26T21:08:39.9944001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9944212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9944279Z     return mod(**inputs)
2025-08-26T21:08:39.9944522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9944605Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9944848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9944929Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9945184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9945264Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9945515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9945608Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9945855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9945974Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9946213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9946305Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9946309Z 
2025-08-26T21:08:39.9946413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9946630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9946696Z     return mod(**inputs)
2025-08-26T21:08:39.9946965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9947040Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9947282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9947361Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9947589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9947697Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9947938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9948053Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9948303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9948422Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9948670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9948751Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9948755Z 
2025-08-26T21:08:39.9948860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9949069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9949137Z     return mod(**inputs)
2025-08-26T21:08:39.9949391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9949466Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9949727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9949800Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9950039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9950129Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9950379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9950471Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9950719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9950810Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9951066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9951149Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9951153Z 
2025-08-26T21:08:39.9951297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9951508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9951576Z     return mod(**inputs)
2025-08-26T21:08:39.9951838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9951913Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9952172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9952249Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9952491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9952639Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9952900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9952996Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9953275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9953377Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9953632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9953722Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9953726Z 
2025-08-26T21:08:39.9953844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9954070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9954146Z     return mod(**inputs)
2025-08-26T21:08:39.9954390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9954483Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9954737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9954812Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9955046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9955125Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9955374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9955455Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9955697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9955788Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9956030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9956119Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9956123Z 
2025-08-26T21:08:39.9956203Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9956284Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9956396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9956597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9956669Z     return mod(**inputs)
2025-08-26T21:08:39.9956913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9956985Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9957222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9957293Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9957541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9957624Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9957877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:08:39.9957958Z     self_attention_outputs = self.layer[0](
2025-08-26T21:08:39.9958201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:08:39.9958293Z     attention_output = self.SelfAttention(
2025-08-26T21:08:39.9958534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9958620Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9958623Z 
2025-08-26T21:08:39.9958732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9958938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9959016Z     return mod(**inputs)
2025-08-26T21:08:39.9959281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9959366Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9959612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9959684Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9959924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9960035Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9960270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9960347Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9960606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9960687Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9960915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:08:39.9960998Z     query_states = self.q(hidden_states)
2025-08-26T21:08:39.9961001Z 
2025-08-26T21:08:39.9961101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9961310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9961375Z     return mod(**inputs)
2025-08-26T21:08:39.9961619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9961699Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9961947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9962025Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9962243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9962317Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9962553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9962628Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9962859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9962941Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9963175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:08:39.9963249Z     key_states = self.k(current_states)
2025-08-26T21:08:39.9963254Z 
2025-08-26T21:08:39.9963351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9963573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9963637Z     return mod(**inputs)
2025-08-26T21:08:39.9963880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9963950Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9964185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9964263Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9964479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9964559Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9964793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9964873Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9965114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9965217Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9965472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:08:39.9965550Z     value_states = self.v(current_states)
2025-08-26T21:08:39.9965554Z 
2025-08-26T21:08:39.9965641Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9965721Z cudagraph partition due to non gpu ops
2025-08-26T21:08:39.9965850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9966063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9966130Z     return mod(**inputs)
2025-08-26T21:08:39.9966420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9966495Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9966749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9966833Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9967068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9967153Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9967402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9967487Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9967741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:08:39.9967831Z     attention_output = self.EncDecAttention(
2025-08-26T21:08:39.9968084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:08:39.9968163Z     attn_output = self.o(attn_output)
2025-08-26T21:08:39.9968169Z 
2025-08-26T21:08:39.9968281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9968485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9968551Z     return mod(**inputs)
2025-08-26T21:08:39.9968808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9968879Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9969115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9969184Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9969403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9969505Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9969770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:08:39.9969859Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:08:39.9970106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-26T21:08:39.9970236Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:08:39.9970246Z 
2025-08-26T21:08:39.9970347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9970540Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9970610Z     return mod(**inputs)
2025-08-26T21:08:39.9970846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9970927Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9971157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9971244Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9971471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9971545Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9971784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9971873Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9972119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9972242Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9972506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:08:39.9972593Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:08:39.9972597Z 
2025-08-26T21:08:39.9972699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9972898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9972962Z     return mod(**inputs)
2025-08-26T21:08:39.9973345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9973440Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9973684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9973766Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9974002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9974087Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9974337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9974431Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9974678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9974798Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9975087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:08:39.9975177Z     hidden_states = self.act(hidden_states)
2025-08-26T21:08:39.9975181Z 
2025-08-26T21:08:39.9975281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9975480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9975545Z     return mod(**inputs)
2025-08-26T21:08:39.9975812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:08:39.9975888Z     decoder_outputs = self.decoder(
2025-08-26T21:08:39.9976119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:08:39.9976198Z     layer_outputs = layer_module(
2025-08-26T21:08:39.9976426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:08:39.9976508Z     return super().__call__(*args, **kwargs)
2025-08-26T21:08:39.9976755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:08:39.9976846Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:08:39.9977096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:08:39.9977218Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:08:39.9977485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:08:39.9977570Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:08:39.9977573Z 
2025-08-26T21:08:39.9977686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:08:39.9977889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:08:39.9977957Z     return mod(**inputs)
2025-08-26T21:08:39.9978208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1791, in forward
2025-08-26T21:08:39.9978310Z     lm_logits = self.lm_head(sequence_output)
2025-08-26T21:08:39.9978314Z 
2025-08-26T21:08:59.7857245Z Compilation time (from dynamo_timed): 64.125466929
2025-08-26T21:08:59.7858037Z pass
2025-08-26T21:08:59.7859683Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:08:59.7860594Z TIMING: _recursive_pre_grad_passes:0.01934 _recursive_joint_graph_passes:2.47767 _recursive_post_grad_passes:0.16705 async_compile.wait:0.66565 code_gen:11.48116 inductor_compile:18.54064 backend_compile:51.48421 gc:0.00013 entire_frame_compile:64.12547 total_wall_time:64.12547
2025-08-26T21:08:59.7861868Z STATS: call_* op count: 1514 | FakeTensorMode.__torch_dispatch__:38624 | FakeTensor.__torch_dispatch__:8079 | attempt fast:30 | fast is_contiguous:24 | slow both tensors nontrivially broadcast:4 | slow no contiguity match:2 | ProxyTorchDispatchMode.__torch_dispatch__:14945
2025-08-26T21:08:59.7862660Z Dynamo produced 1 graphs covering 1514 ops with 0 graph breaks (0 unique)
2025-08-26T21:09:07.5319993Z 
2025-08-26T21:09:08.2177356Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:09:08.2177614Z 
2025-08-26T21:09:08.2229445Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-26T21:09:08.2229790Z config.json: 100% 1.21k/1.21k [00:00<00:00, 256kB/s]
2025-08-26T21:09:18.8377687Z 
2025-08-26T21:09:18.8382941Z loading model: 0it [00:11, ?it/s]
2025-08-26T21:09:18.8428217Z cpu  eval  hf_T5_large                        
2025-08-26T21:09:19.0713665Z Compilation time (from dynamo_timed): 0
2025-08-26T21:09:19.0713981Z pass_due_to_skip
2025-08-26T21:09:19.0714308Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:09:19.0714801Z TIMING: total_wall_time:0
2025-08-26T21:09:19.0718843Z STATS: call_* op count: 0
2025-08-26T21:09:19.0719338Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-26T21:09:22.8431545Z 
2025-08-26T21:09:23.5262148Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:09:23.5262380Z 
2025-08-26T21:09:23.5262756Z config.json: 0.00B [00:00, ?B/s]
2025-08-26T21:09:23.5262973Z config.json: 2.26kB [00:00, 12.8MB/s]
2025-08-26T21:09:30.3388460Z 
2025-08-26T21:09:30.3389536Z loading model: 0it [00:07, ?it/s]
2025-08-26T21:09:30.3413112Z cpu  eval  hf_distil_whisper                  
2025-08-26T21:09:42.1938010Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:09:47.8329476Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:09:53.3305069Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:10:24.9202505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9203112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9203610Z     return mod(*inputs)
2025-08-26T21:10:24.9204109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9204559Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9205012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 677, in forward
2025-08-26T21:10:24.9205543Z     inputs_embeds = nn.functional.gelu(self.conv1(input_features))
2025-08-26T21:10:24.9206778Z 
2025-08-26T21:10:24.9206901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9207307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9207725Z     return mod(*inputs)
2025-08-26T21:10:24.9208129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9208633Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9209057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 677, in forward
2025-08-26T21:10:24.9209546Z     inputs_embeds = nn.functional.gelu(self.conv1(input_features))
2025-08-26T21:10:24.9209806Z 
2025-08-26T21:10:24.9209928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9210312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9210670Z     return mod(*inputs)
2025-08-26T21:10:24.9211067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9211496Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9211914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 678, in forward
2025-08-26T21:10:24.9212401Z     inputs_embeds = nn.functional.gelu(self.conv2(inputs_embeds))
2025-08-26T21:10:24.9212618Z 
2025-08-26T21:10:24.9212730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9213118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9213463Z     return mod(*inputs)
2025-08-26T21:10:24.9213873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9214305Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9214942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9217198Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9217720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9218217Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9218804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9219274Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9219731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9220396Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9220579Z 
2025-08-26T21:10:24.9220697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9221101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9221458Z     return mod(*inputs)
2025-08-26T21:10:24.9221919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9222403Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9223074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9223767Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9224319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9224867Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9225490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9226246Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9226890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9227648Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9227992Z 
2025-08-26T21:10:24.9228167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9229221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9229750Z     return mod(*inputs)
2025-08-26T21:10:24.9230369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9231038Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9231659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9232315Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9233123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9233703Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9234372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9235023Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9235661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9236452Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9236797Z 
2025-08-26T21:10:24.9236925Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9237244Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9237561Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9237879Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9238164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9238558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9238914Z     return mod(*inputs)
2025-08-26T21:10:24.9239322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9239764Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9240191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9240602Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9240992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9241504Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9241930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9242582Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9243199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9243787Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9244466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9245164Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9245413Z 
2025-08-26T21:10:24.9245569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9246143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9246638Z     return mod(*inputs)
2025-08-26T21:10:24.9247196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9247634Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9248068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9248519Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9248908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9249288Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9249705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9250170Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9250613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9251075Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9251556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9252051Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9252226Z 
2025-08-26T21:10:24.9252348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9252751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9253104Z     return mod(*inputs)
2025-08-26T21:10:24.9253509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9253945Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9254366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9254779Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9255157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9255552Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9255981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9256429Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9256870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9257323Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9257479Z 
2025-08-26T21:10:24.9257641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9258026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9258365Z     return mod(*inputs)
2025-08-26T21:10:24.9258761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9259188Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9259603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9260023Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9260394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9260784Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9261220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9261699Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9261884Z 
2025-08-26T21:10:24.9262023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9262395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9262743Z     return mod(*inputs)
2025-08-26T21:10:24.9263159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9263597Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9264037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9264482Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9264862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9265283Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9265701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9266184Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9266586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9266943Z     return self.act(input)
2025-08-26T21:10:24.9267057Z 
2025-08-26T21:10:24.9267170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9267543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9267874Z     return mod(*inputs)
2025-08-26T21:10:24.9268292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9268731Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9269174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9269593Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9269964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9270366Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9270945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9271559Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9271763Z 
2025-08-26T21:10:24.9271928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9272416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9273042Z     return mod(*inputs)
2025-08-26T21:10:24.9273685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9274315Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9274726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9288745Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9289523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9290147Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9290804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9291292Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9291750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9292395Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9292648Z 
2025-08-26T21:10:24.9292825Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9293499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9293988Z     return mod(*inputs)
2025-08-26T21:10:24.9294436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9294969Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9295400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9295845Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9296224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9296641Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9297075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9297515Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9297960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9298486Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9298729Z 
2025-08-26T21:10:24.9298851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9299231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9299567Z     return mod(*inputs)
2025-08-26T21:10:24.9299962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9300384Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9300796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9301212Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9301570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9301954Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9302369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9302803Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9303230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9303750Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9303991Z 
2025-08-26T21:10:24.9304114Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9304343Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9304563Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9304770Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9305015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9305392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9305727Z     return mod(*inputs)
2025-08-26T21:10:24.9306113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9306530Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9306939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9307365Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9307736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9308107Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9308547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9308983Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9309519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9309974Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9310441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9310998Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9311202Z 
2025-08-26T21:10:24.9311337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9311719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9312063Z     return mod(*inputs)
2025-08-26T21:10:24.9312473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9313591Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9314010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9314650Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9315046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9315440Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9315861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9316307Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9316815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9317265Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9317747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9318248Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9318426Z 
2025-08-26T21:10:24.9318550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9318941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9319290Z     return mod(*inputs)
2025-08-26T21:10:24.9319698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9320134Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9320635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9321082Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9321461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9321861Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9322305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9322792Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9323226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9323661Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9323812Z 
2025-08-26T21:10:24.9323921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9324290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9324618Z     return mod(*inputs)
2025-08-26T21:10:24.9325018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9325431Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9325829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9326254Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9326633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9327024Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9327431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9327873Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9328012Z 
2025-08-26T21:10:24.9328126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9328482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9328812Z     return mod(*inputs)
2025-08-26T21:10:24.9329192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9329596Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9329985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9330370Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9330713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9331074Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9331466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9331907Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9332078Z 
2025-08-26T21:10:24.9332181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9332531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9332848Z     return mod(*inputs)
2025-08-26T21:10:24.9333212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9333599Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9333983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9334373Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9334733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9335091Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9335474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9335906Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9336290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9336636Z     return self.act(input)
2025-08-26T21:10:24.9336749Z 
2025-08-26T21:10:24.9336862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9337221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9337543Z     return mod(*inputs)
2025-08-26T21:10:24.9337929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9338341Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9338757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9339174Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9339536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9339914Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9340332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9340763Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9340914Z 
2025-08-26T21:10:24.9341022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9341415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9341752Z     return mod(*inputs)
2025-08-26T21:10:24.9342132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9342546Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9342955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9343371Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9343737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9344114Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9344535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9344971Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9345408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9345861Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9346037Z 
2025-08-26T21:10:24.9346145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9346523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9346862Z     return mod(*inputs)
2025-08-26T21:10:24.9347269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9347683Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9348093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9348512Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9348902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9349280Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9349687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9350117Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9350548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9351060Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9351287Z 
2025-08-26T21:10:24.9351404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9351769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9352103Z     return mod(*inputs)
2025-08-26T21:10:24.9352500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9353045Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9353495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9353915Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9354301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9354684Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9355099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9355547Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9355990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9356521Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9356752Z 
2025-08-26T21:10:24.9356853Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9357077Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9357284Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9357495Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9357735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9358112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9358466Z     return mod(*inputs)
2025-08-26T21:10:24.9358865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9359289Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9359703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9360121Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9360473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9360858Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9361272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9361707Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9362135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9362566Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9363027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9363532Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9363724Z 
2025-08-26T21:10:24.9363860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9364227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9364579Z     return mod(*inputs)
2025-08-26T21:10:24.9364977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9365399Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9365796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9366183Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9366527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9366887Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9367281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9367687Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9368124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9368538Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9368972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9369424Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9369607Z 
2025-08-26T21:10:24.9369710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9370081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9370437Z     return mod(*inputs)
2025-08-26T21:10:24.9370846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9371260Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9371655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9372062Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9372423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9372813Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9373218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9373649Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9374076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9374498Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9374639Z 
2025-08-26T21:10:24.9374753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9375124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9375457Z     return mod(*inputs)
2025-08-26T21:10:24.9375843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9376310Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9376709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9377113Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9377478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9377853Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9378286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9378746Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9378933Z 
2025-08-26T21:10:24.9379041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9379411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9379746Z     return mod(*inputs)
2025-08-26T21:10:24.9380128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9380543Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9380947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9381356Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9381718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9382088Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9382517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9382976Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9383379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9383741Z     return self.act(input)
2025-08-26T21:10:24.9383858Z 
2025-08-26T21:10:24.9383965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9384359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9384705Z     return mod(*inputs)
2025-08-26T21:10:24.9385115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9385526Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9385931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9386337Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9386696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9387071Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9387479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9387905Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9388053Z 
2025-08-26T21:10:24.9388161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9388531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9388868Z     return mod(*inputs)
2025-08-26T21:10:24.9389246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9389657Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9390059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9390471Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9390827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9391217Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9391644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9392077Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9392599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9393081Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9393267Z 
2025-08-26T21:10:24.9393385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9393773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9394118Z     return mod(*inputs)
2025-08-26T21:10:24.9394517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9394935Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9395358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9395780Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9396153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9396534Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9396986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9397434Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9397876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9398383Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9398590Z 
2025-08-26T21:10:24.9398707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9399059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9399370Z     return mod(*inputs)
2025-08-26T21:10:24.9399752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9400134Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9400500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9400876Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9401209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9401556Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9401941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9402332Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9402726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9403201Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9403417Z 
2025-08-26T21:10:24.9403505Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9403713Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9403922Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9404130Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9404363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9404715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9405038Z     return mod(*inputs)
2025-08-26T21:10:24.9405397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9405776Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9406145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9406515Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9406864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9407216Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9407601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9407998Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9408386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9408795Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9409222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9409686Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9409867Z 
2025-08-26T21:10:24.9409977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9410319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9410651Z     return mod(*inputs)
2025-08-26T21:10:24.9411013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9411401Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9411766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9412164Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9412500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9412854Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9413296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9413697Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9414099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9414656Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9415127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9415603Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9415763Z 
2025-08-26T21:10:24.9415872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9416226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9416545Z     return mod(*inputs)
2025-08-26T21:10:24.9416917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9417310Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9417691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9418082Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9418428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9418787Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9419169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9419576Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9419978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9420378Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9420569Z 
2025-08-26T21:10:24.9420682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9421028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9421345Z     return mod(*inputs)
2025-08-26T21:10:24.9421712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9422109Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9422486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9422876Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9423223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9423582Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9423977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9424370Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9424509Z 
2025-08-26T21:10:24.9424645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9425018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9425354Z     return mod(*inputs)
2025-08-26T21:10:24.9425740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9426151Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9426585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9426992Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9427372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9427722Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9428116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9428586Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9428769Z 
2025-08-26T21:10:24.9428882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9429245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9429577Z     return mod(*inputs)
2025-08-26T21:10:24.9429964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9430394Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9430797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9431203Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9431568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9431944Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9432354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9432888Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9433302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9433682Z     return self.act(input)
2025-08-26T21:10:24.9433796Z 
2025-08-26T21:10:24.9433912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9434288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9434617Z     return mod(*inputs)
2025-08-26T21:10:24.9435031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9435454Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9435858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9436275Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9436632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9437008Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9437426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9437864Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9438009Z 
2025-08-26T21:10:24.9438124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9438489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9438826Z     return mod(*inputs)
2025-08-26T21:10:24.9439230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9439647Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9440045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9440457Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9440823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9441222Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9441636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9442090Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9442519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9442984Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9443150Z 
2025-08-26T21:10:24.9443266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9443634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9443963Z     return mod(*inputs)
2025-08-26T21:10:24.9444355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9444775Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9445185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9445598Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9445951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9446320Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9446724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9447148Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9447560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9448050Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9448279Z 
2025-08-26T21:10:24.9448384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9448801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9449135Z     return mod(*inputs)
2025-08-26T21:10:24.9449528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9449934Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9450328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9450752Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9451098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9451466Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9451872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9452315Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9452731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9453214Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9453446Z 
2025-08-26T21:10:24.9453552Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9453780Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9453998Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9454202Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9454448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9454816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9455172Z     return mod(*inputs)
2025-08-26T21:10:24.9455563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9455948Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9456352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9456741Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9457095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9457459Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9457853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9458275Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9458686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9459109Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9459547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9460034Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9460226Z 
2025-08-26T21:10:24.9460333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9460694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9461023Z     return mod(*inputs)
2025-08-26T21:10:24.9461394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9461794Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9462193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9462620Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9462996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9463375Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9463822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9464258Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9464696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9465103Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9465538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9465994Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9466170Z 
2025-08-26T21:10:24.9466278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9466652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9466984Z     return mod(*inputs)
2025-08-26T21:10:24.9467375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9467813Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9468224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9468631Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9468986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9469365Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9469799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9470266Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9470721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9471138Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9471284Z 
2025-08-26T21:10:24.9471393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9471765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9472101Z     return mod(*inputs)
2025-08-26T21:10:24.9472476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9472996Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9473420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9473926Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9474293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9474672Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9475093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9475560Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9475741Z 
2025-08-26T21:10:24.9475860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9476236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9476567Z     return mod(*inputs)
2025-08-26T21:10:24.9476959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9477377Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9477783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9478211Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9478580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9478984Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9479402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9479898Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9480294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9480657Z     return self.act(input)
2025-08-26T21:10:24.9480778Z 
2025-08-26T21:10:24.9480887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9481257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9481596Z     return mod(*inputs)
2025-08-26T21:10:24.9481977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9482393Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9482821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9483241Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9483578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9483944Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9484374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9484794Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9484935Z 
2025-08-26T21:10:24.9485071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9485442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9485777Z     return mod(*inputs)
2025-08-26T21:10:24.9486152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9486543Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9486918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9487306Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9487647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9488003Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9488393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9488798Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9489206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9489637Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9489799Z 
2025-08-26T21:10:24.9489907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9490255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9490564Z     return mod(*inputs)
2025-08-26T21:10:24.9490928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9491320Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9491702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9492090Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9492446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9492808Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9493213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9493645Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9494063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9494579Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9494813Z 
2025-08-26T21:10:24.9494933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9495282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9495605Z     return mod(*inputs)
2025-08-26T21:10:24.9495962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9496355Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9496754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9497144Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9497484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9497834Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9498243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9498656Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9499062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9499558Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9499774Z 
2025-08-26T21:10:24.9499864Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9500077Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9500280Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9500495Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9500741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9501108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9501439Z     return mod(*inputs)
2025-08-26T21:10:24.9501831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9502309Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9502720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9503139Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9503506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9503892Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9504314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9504753Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9505179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9505629Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9506093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9506617Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9506811Z 
2025-08-26T21:10:24.9506925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9507288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9507638Z     return mod(*inputs)
2025-08-26T21:10:24.9508037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9508463Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9508877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9509290Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9509661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9510048Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9510466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9510921Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9511347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9511780Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9512234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9512805Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9512980Z 
2025-08-26T21:10:24.9513102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9513481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9513863Z     return mod(*inputs)
2025-08-26T21:10:24.9514271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9514928Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9515337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9515774Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9516146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9516531Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9516953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9517399Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9517839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9518283Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9518426Z 
2025-08-26T21:10:24.9518545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9518916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9519255Z     return mod(*inputs)
2025-08-26T21:10:24.9519644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9520065Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9520469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9520849Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9521192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9521592Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9521982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9522372Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9522505Z 
2025-08-26T21:10:24.9522606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9522977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9523306Z     return mod(*inputs)
2025-08-26T21:10:24.9523691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9524095Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9524492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9524896Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9525266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9525621Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9526024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9526460Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9526633Z 
2025-08-26T21:10:24.9526737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9527086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9527440Z     return mod(*inputs)
2025-08-26T21:10:24.9527804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9528222Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9528608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9528992Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9529331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9529687Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9530076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9530510Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9530900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9531229Z     return self.act(input)
2025-08-26T21:10:24.9531348Z 
2025-08-26T21:10:24.9531448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9531806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9532124Z     return mod(*inputs)
2025-08-26T21:10:24.9532489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9532877Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9533265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9533647Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9533983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9534333Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9534736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9535161Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9535295Z 
2025-08-26T21:10:24.9535428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9535784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9536095Z     return mod(*inputs)
2025-08-26T21:10:24.9536458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9536846Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9537226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9537617Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9537955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9538312Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9538703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9539106Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9539520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9539948Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9540118Z 
2025-08-26T21:10:24.9540220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9540570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9540883Z     return mod(*inputs)
2025-08-26T21:10:24.9541261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9541650Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9542056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9542441Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9542784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9543144Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9543557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9543973Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9544373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9544840Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9545060Z 
2025-08-26T21:10:24.9545160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9545511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9545827Z     return mod(*inputs)
2025-08-26T21:10:24.9546198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9546603Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9547008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9547420Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9547783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9548162Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9548566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9548998Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9549445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9549954Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9550185Z 
2025-08-26T21:10:24.9550277Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9550496Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9550713Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9550931Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9551173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9551539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9551874Z     return mod(*inputs)
2025-08-26T21:10:24.9552264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9552758Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9553184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9553645Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9554026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9554420Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9554867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9555299Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9555732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9556147Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9556606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9557084Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9557261Z 
2025-08-26T21:10:24.9557364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9557707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9558019Z     return mod(*inputs)
2025-08-26T21:10:24.9558385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9558779Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9559151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9559540Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9559885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9560246Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9560640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9561036Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9561440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9561855Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9562297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9562743Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9562912Z 
2025-08-26T21:10:24.9563015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9563388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9563702Z     return mod(*inputs)
2025-08-26T21:10:24.9564076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9564492Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9564912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9565334Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9565701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9566083Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9566494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9566905Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9567314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9567733Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9567869Z 
2025-08-26T21:10:24.9567970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9568328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9568645Z     return mod(*inputs)
2025-08-26T21:10:24.9569009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9569421Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9569794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9570210Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9570552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9570912Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9571301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9571752Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9571942Z 
2025-08-26T21:10:24.9572049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9572419Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9572778Z     return mod(*inputs)
2025-08-26T21:10:24.9573167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9573592Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9574010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9574423Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9574798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9575143Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9575537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9575992Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9576389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9576723Z     return self.act(input)
2025-08-26T21:10:24.9576837Z 
2025-08-26T21:10:24.9576939Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9577290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9577626Z     return mod(*inputs)
2025-08-26T21:10:24.9577998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9578380Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9578765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9579152Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9579495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9579854Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9580232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9580630Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9580770Z 
2025-08-26T21:10:24.9580873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9581218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9581553Z     return mod(*inputs)
2025-08-26T21:10:24.9581920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9582316Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9582701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9583126Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9583498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9583877Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9584297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9584704Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9585110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9585530Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9585699Z 
2025-08-26T21:10:24.9585801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9586171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9586503Z     return mod(*inputs)
2025-08-26T21:10:24.9586880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9587291Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9587700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9588114Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9588476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9588844Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9589254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9589680Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9590105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9590607Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9590832Z 
2025-08-26T21:10:24.9590940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9591310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9591665Z     return mod(*inputs)
2025-08-26T21:10:24.9592060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9592475Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9592974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9593399Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9593775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9594166Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9594551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9594978Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9595407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9595944Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9596175Z 
2025-08-26T21:10:24.9596267Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9596485Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9596712Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9596915Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9597145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9597491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9597853Z     return mod(*inputs)
2025-08-26T21:10:24.9598223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9598633Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9599018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9599402Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9599748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9600107Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9600499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9600902Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9601307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9601721Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9602167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9602640Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9602832Z 
2025-08-26T21:10:24.9602943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9603312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9603645Z     return mod(*inputs)
2025-08-26T21:10:24.9604031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9604445Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9604841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9605271Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9605613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9605993Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9606454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9606856Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9607261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9607672Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9608109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9608577Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9608753Z 
2025-08-26T21:10:24.9608863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9609236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9609592Z     return mod(*inputs)
2025-08-26T21:10:24.9610002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9610404Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9610786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9611176Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9611518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9611961Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9612345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9612773Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9613182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9613613Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9613754Z 
2025-08-26T21:10:24.9613876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9614218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9614650Z     return mod(*inputs)
2025-08-26T21:10:24.9615033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9615441Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9615820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9616220Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9616573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9616949Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9617373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9617792Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9617938Z 
2025-08-26T21:10:24.9618047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9618421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9618756Z     return mod(*inputs)
2025-08-26T21:10:24.9619139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9619579Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9619986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9620458Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9620823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9621194Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9621608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9622083Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9622261Z 
2025-08-26T21:10:24.9622375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9622747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9623078Z     return mod(*inputs)
2025-08-26T21:10:24.9623464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9623883Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9624288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9624730Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9625095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9625469Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9625883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9626371Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9626766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9627123Z     return self.act(input)
2025-08-26T21:10:24.9627273Z 
2025-08-26T21:10:24.9627379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9627751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9628090Z     return mod(*inputs)
2025-08-26T21:10:24.9628372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9628448Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9628728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9628802Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9629045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9629126Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9629401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9629499Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9629503Z 
2025-08-26T21:10:24.9629610Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9629822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9629888Z     return mod(*inputs)
2025-08-26T21:10:24.9630164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9630246Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9630518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9630602Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9630832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9630921Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9631224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9631322Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9631600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9631721Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9631724Z 
2025-08-26T21:10:24.9631839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9632046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9632117Z     return mod(*inputs)
2025-08-26T21:10:24.9632405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9632482Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9632833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9632917Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9633181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9633267Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9633548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9633654Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9633986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9634170Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9634193Z 
2025-08-26T21:10:24.9634306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9634523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9634600Z     return mod(*inputs)
2025-08-26T21:10:24.9634877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9634963Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9635230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9635311Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9635541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9635623Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9635911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9636010Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9636298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9636478Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9636482Z 
2025-08-26T21:10:24.9636569Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9636661Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9636744Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9636845Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9636958Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9637164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9637238Z     return mod(*inputs)
2025-08-26T21:10:24.9637542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9637628Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9637907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9637989Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9638223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9638303Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9638588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9638684Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9638969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9639076Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9639385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9639551Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9639555Z 
2025-08-26T21:10:24.9639665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9639882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9639950Z     return mod(*inputs)
2025-08-26T21:10:24.9640257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9640354Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9640634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9640737Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9640974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9641065Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9641343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9641439Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9641726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9641829Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9642145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9642266Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9642271Z 
2025-08-26T21:10:24.9642387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9642597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9642666Z     return mod(*inputs)
2025-08-26T21:10:24.9642956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9643031Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9643333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9643408Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9643645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9643736Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9644036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9644156Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9644436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9644529Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9644532Z 
2025-08-26T21:10:24.9644638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9644842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9644918Z     return mod(*inputs)
2025-08-26T21:10:24.9645218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9645304Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9645579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9645657Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9645900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9646000Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9646286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9646412Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9646416Z 
2025-08-26T21:10:24.9646531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9646757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9646828Z     return mod(*inputs)
2025-08-26T21:10:24.9647130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9647230Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9647520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9647595Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9647824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9647910Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9648179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9648307Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9648530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9648601Z     return self.act(input)
2025-08-26T21:10:24.9648606Z 
2025-08-26T21:10:24.9648720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9648924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9648998Z     return mod(*inputs)
2025-08-26T21:10:24.9649272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9649353Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9649622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9649695Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9649932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9650012Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9650289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9650397Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9650401Z 
2025-08-26T21:10:24.9650507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9650717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9650782Z     return mod(*inputs)
2025-08-26T21:10:24.9651060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9651134Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9651407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9651488Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9651714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9651803Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9652074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9652194Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9652462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9652576Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9652583Z 
2025-08-26T21:10:24.9652694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9652890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9652990Z     return mod(*inputs)
2025-08-26T21:10:24.9653267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9653373Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9653659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9653732Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9653972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9654052Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9654335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9654428Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9654701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9654879Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9654885Z 
2025-08-26T21:10:24.9654990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9655205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9655271Z     return mod(*inputs)
2025-08-26T21:10:24.9655552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9655634Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9655914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9655994Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9656224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9656313Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9656589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9656704Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9656981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9657146Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9657150Z 
2025-08-26T21:10:24.9657236Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9657313Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9657387Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9657467Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9657568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9657763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9657825Z     return mod(*inputs)
2025-08-26T21:10:24.9658085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9658163Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9658435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9658512Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9658725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9658810Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9659066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9659171Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9659430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9659543Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9659836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9659969Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9659973Z 
2025-08-26T21:10:24.9660073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9660272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9660334Z     return mod(*inputs)
2025-08-26T21:10:24.9660598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9660673Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9660933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9661005Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9661221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9661305Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9661562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9661656Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9661911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9662007Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9662301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9662410Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9662416Z 
2025-08-26T21:10:24.9662521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9662731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9662804Z     return mod(*inputs)
2025-08-26T21:10:24.9663069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9663141Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9663407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9663480Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9663718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9663798Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9664074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9664178Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9664469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9664561Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9664565Z 
2025-08-26T21:10:24.9664670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9664881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9664947Z     return mod(*inputs)
2025-08-26T21:10:24.9665218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9665322Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9665594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9665692Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9665922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9666003Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9666278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9666362Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9666365Z 
2025-08-26T21:10:24.9666479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9666678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9666750Z     return mod(*inputs)
2025-08-26T21:10:24.9667038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9667116Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9667408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9667483Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9667719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9667796Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9668066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9668196Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9668202Z 
2025-08-26T21:10:24.9668306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9668515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9668587Z     return mod(*inputs)
2025-08-26T21:10:24.9668887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9668977Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9669262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9669348Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9669588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9669679Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9669960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9670088Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9670328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9670407Z     return self.act(input)
2025-08-26T21:10:24.9670412Z 
2025-08-26T21:10:24.9670529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9670761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9670832Z     return mod(*inputs)
2025-08-26T21:10:24.9671119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9671195Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9671481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9671574Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9671811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9671901Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9672198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9672292Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9672296Z 
2025-08-26T21:10:24.9672406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9672693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9672769Z     return mod(*inputs)
2025-08-26T21:10:24.9673054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9673140Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9673424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9673508Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9673746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9673838Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9674102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9674191Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9674466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9674587Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9674591Z 
2025-08-26T21:10:24.9674707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9674920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9674987Z     return mod(*inputs)
2025-08-26T21:10:24.9675280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9675380Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9675664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9675737Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9675973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9676063Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9676341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9676448Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9676721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9676904Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9676910Z 
2025-08-26T21:10:24.9677018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9677244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9677323Z     return mod(*inputs)
2025-08-26T21:10:24.9677606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9677687Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9677968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9678076Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9678319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9678441Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9678730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9678827Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9679104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9679287Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9679291Z 
2025-08-26T21:10:24.9679376Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9679468Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9679549Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9679640Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9679748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9679955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9680032Z     return mod(*inputs)
2025-08-26T21:10:24.9680316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9680401Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9680681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9680757Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9680999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9681081Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9681372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9681468Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9681766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9681878Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9682190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9682343Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9682346Z 
2025-08-26T21:10:24.9682453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9682666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9682734Z     return mod(*inputs)
2025-08-26T21:10:24.9683018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9683105Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9683388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9683469Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9683723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9683806Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9684091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9684195Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9684472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9684591Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9684899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9685035Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9685039Z 
2025-08-26T21:10:24.9685147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9685361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9685432Z     return mod(*inputs)
2025-08-26T21:10:24.9685703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9685776Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9686032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9686109Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9686325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9686409Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9686667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9686760Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9687016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9687095Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9687098Z 
2025-08-26T21:10:24.9687206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9687396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9687469Z     return mod(*inputs)
2025-08-26T21:10:24.9687729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9687799Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9688085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9688157Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9688390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9688464Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9688728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9688842Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9688846Z 
2025-08-26T21:10:24.9688948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9689145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9689208Z     return mod(*inputs)
2025-08-26T21:10:24.9689478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9689546Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9689822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9689900Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9690121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9690203Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9690465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9690612Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9690831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9690923Z     return self.act(input)
2025-08-26T21:10:24.9690927Z 
2025-08-26T21:10:24.9691041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9691244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9691316Z     return mod(*inputs)
2025-08-26T21:10:24.9691593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9691667Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9691947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9692022Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9692258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9692339Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9692613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9692706Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9692709Z 
2025-08-26T21:10:24.9692819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9693026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9693092Z     return mod(*inputs)
2025-08-26T21:10:24.9693376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9693449Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9693723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9693804Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9694032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9694140Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9694418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9694512Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9694790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9694906Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9694909Z 
2025-08-26T21:10:24.9695032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9695230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9695301Z     return mod(*inputs)
2025-08-26T21:10:24.9695569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9695644Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9695914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9696004Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9696236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9696315Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9696585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9696705Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9696975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9697149Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9697172Z 
2025-08-26T21:10:24.9697282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9697494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9697562Z     return mod(*inputs)
2025-08-26T21:10:24.9697845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9697927Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9698203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9698281Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9698497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9698573Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9698843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9698931Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9699196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9699360Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9699363Z 
2025-08-26T21:10:24.9699450Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9699528Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9699603Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9699688Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9699789Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9699994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9700061Z     return mod(*inputs)
2025-08-26T21:10:24.9700350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9700436Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9700711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9700792Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9701027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9701105Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9701391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9701484Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9701769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9701872Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9702199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9702347Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9702352Z 
2025-08-26T21:10:24.9702457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9702668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9702733Z     return mod(*inputs)
2025-08-26T21:10:24.9703036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9703113Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9703387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9703494Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9703730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9703818Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9704094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9704186Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9704467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9704570Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9704896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9705015Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9705019Z 
2025-08-26T21:10:24.9705129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9705331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9705395Z     return mod(*inputs)
2025-08-26T21:10:24.9705677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9705754Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9706035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9706111Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9706343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9706432Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9706728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9706831Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9707109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9707200Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9707204Z 
2025-08-26T21:10:24.9707314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9707520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9707597Z     return mod(*inputs)
2025-08-26T21:10:24.9707879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9707962Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9708244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9708320Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9709259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9709348Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9709633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9709717Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9709721Z 
2025-08-26T21:10:24.9709836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9710069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9710135Z     return mod(*inputs)
2025-08-26T21:10:24.9710425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9710523Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9710810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9710887Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9711121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9711213Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9711491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9711629Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9711634Z 
2025-08-26T21:10:24.9711743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9711958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9712030Z     return mod(*inputs)
2025-08-26T21:10:24.9712315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9712400Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9712746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9712834Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9713071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9713154Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9713446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9713571Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9713834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9713912Z     return self.act(input)
2025-08-26T21:10:24.9713916Z 
2025-08-26T21:10:24.9714026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9714250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9714316Z     return mod(*inputs)
2025-08-26T21:10:24.9714780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9714861Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9715142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9715219Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9715450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9715543Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9715815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9715946Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9715951Z 
2025-08-26T21:10:24.9716059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9716260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9716333Z     return mod(*inputs)
2025-08-26T21:10:24.9716607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9716714Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9716985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9717083Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9717328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9717411Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9717694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9717787Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9718078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9718194Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9718200Z 
2025-08-26T21:10:24.9718306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9718518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9718586Z     return mod(*inputs)
2025-08-26T21:10:24.9718872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9718947Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9719225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9719304Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9719542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9719625Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9719882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9719978Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9720239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9720427Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9720432Z 
2025-08-26T21:10:24.9720542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9720735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9720802Z     return mod(*inputs)
2025-08-26T21:10:24.9721059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9721130Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9721394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9721468Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9721702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9721786Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9722064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9722171Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9722444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9722625Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9722629Z 
2025-08-26T21:10:24.9722711Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9722820Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9722900Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9722977Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9723092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9723311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9723385Z     return mod(*inputs)
2025-08-26T21:10:24.9723660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9723736Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9724014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9724086Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9724321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9724404Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9724682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9724775Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9725046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9725155Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9725456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9725600Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9725603Z 
2025-08-26T21:10:24.9725707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9725911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9725987Z     return mod(*inputs)
2025-08-26T21:10:24.9726259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9726343Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9726639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9726722Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9726958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9727037Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9727320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9727411Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9727699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9727800Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9728109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9728236Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9728240Z 
2025-08-26T21:10:24.9728360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9728572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9728639Z     return mod(*inputs)
2025-08-26T21:10:24.9728914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9728999Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9729272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9729350Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9729566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9729668Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9729927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9730013Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9730287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9730370Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9730373Z 
2025-08-26T21:10:24.9730485Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9730687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9730760Z     return mod(*inputs)
2025-08-26T21:10:24.9731035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9731112Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9731391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9731464Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9731699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9731779Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9732122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9732256Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9732262Z 
2025-08-26T21:10:24.9732361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9732556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9732619Z     return mod(*inputs)
2025-08-26T21:10:24.9732921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9733005Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9733291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9733371Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9733607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9733695Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9733985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9734104Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9734332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9734406Z     return self.act(input)
2025-08-26T21:10:24.9734409Z 
2025-08-26T21:10:24.9734521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9734777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9734843Z     return mod(*inputs)
2025-08-26T21:10:24.9735110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9735179Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9735458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9735549Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9735843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9735942Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9736227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9736321Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9736324Z 
2025-08-26T21:10:24.9736428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9736635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9736700Z     return mod(*inputs)
2025-08-26T21:10:24.9737046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9737130Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9737412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9737491Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9737728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9737807Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9738098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9738190Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9738471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9738587Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9738592Z 
2025-08-26T21:10:24.9738702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9738906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9738972Z     return mod(*inputs)
2025-08-26T21:10:24.9739287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9739364Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9739661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9739736Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9739974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9740062Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9740341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9740445Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9740743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9740922Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9740926Z 
2025-08-26T21:10:24.9741032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9741253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9741331Z     return mod(*inputs)
2025-08-26T21:10:24.9741619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9741699Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9741982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9742077Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9742318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9742417Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9742697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9742789Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9743066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9743236Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9743241Z 
2025-08-26T21:10:24.9743324Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9743413Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9743492Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9743577Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9743681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9743884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9743959Z     return mod(*inputs)
2025-08-26T21:10:24.9744235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9744317Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9744586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9744658Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9744893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9744975Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9745252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9745346Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9745640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9745743Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9746044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9746190Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9746196Z 
2025-08-26T21:10:24.9746300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9746508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9746576Z     return mod(*inputs)
2025-08-26T21:10:24.9746848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9746934Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9747206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9747286Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9747530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9747620Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9747893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9747983Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9748265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9748382Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9748692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9748835Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9748838Z 
2025-08-26T21:10:24.9748947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9749160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9749224Z     return mod(*inputs)
2025-08-26T21:10:24.9749505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9749580Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9749861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9749936Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9750167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9750257Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9750535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9750636Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9750914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9750999Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9751002Z 
2025-08-26T21:10:24.9751117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9751325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9751400Z     return mod(*inputs)
2025-08-26T21:10:24.9751682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9751761Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9752065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9752142Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9752386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9752466Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9752825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9752914Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9752922Z 
2025-08-26T21:10:24.9753029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9753248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9753317Z     return mod(*inputs)
2025-08-26T21:10:24.9753610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9753688Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9753990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9754076Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9754310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9754400Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9754681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9754838Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9754842Z 
2025-08-26T21:10:24.9754950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9755180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9755256Z     return mod(*inputs)
2025-08-26T21:10:24.9755538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9755621Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9755899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9755974Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9756220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9756303Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9756594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9756720Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9756959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9757033Z     return self.act(input)
2025-08-26T21:10:24.9757038Z 
2025-08-26T21:10:24.9757149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9757367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9757435Z     return mod(*inputs)
2025-08-26T21:10:24.9757723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9757802Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9758081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9758163Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9758417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9758511Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9758788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9758873Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9758885Z 
2025-08-26T21:10:24.9758992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9759200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9759273Z     return mod(*inputs)
2025-08-26T21:10:24.9759556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9759646Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9759927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9760005Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9760265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9760347Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9760634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9760730Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9761009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9761153Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9761157Z 
2025-08-26T21:10:24.9761264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9761497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9761566Z     return mod(*inputs)
2025-08-26T21:10:24.9761856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9761933Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9762208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9762291Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9762526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9762617Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9762897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9762992Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9763282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9763455Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9763459Z 
2025-08-26T21:10:24.9763576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9763785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9763859Z     return mod(*inputs)
2025-08-26T21:10:24.9764140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9764218Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9764503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9764577Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9764841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9764925Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9765204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9765305Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9765585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9765768Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9765774Z 
2025-08-26T21:10:24.9765859Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9765949Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9766031Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9766113Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9766239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9766440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9766511Z     return mod(*inputs)
2025-08-26T21:10:24.9766801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9766876Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9767153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9767225Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9767477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9767556Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9767828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9767950Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9768222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9768327Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9768628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9768768Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9768781Z 
2025-08-26T21:10:24.9768885Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9769090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9769163Z     return mod(*inputs)
2025-08-26T21:10:24.9769436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9769522Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9769797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9769870Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9770106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9770186Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9770465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9770559Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9770828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9770937Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9771255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9771383Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9771387Z 
2025-08-26T21:10:24.9771492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9771702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9771769Z     return mod(*inputs)
2025-08-26T21:10:24.9772041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9772126Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9772397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9772480Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9772711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9772790Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9773089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9773184Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9773469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9773553Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9773581Z 
2025-08-26T21:10:24.9773698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9773915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9773981Z     return mod(*inputs)
2025-08-26T21:10:24.9774284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9774357Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9774635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9774708Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9774935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9775020Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9775288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9775415Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9775419Z 
2025-08-26T21:10:24.9775523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9775734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9775799Z     return mod(*inputs)
2025-08-26T21:10:24.9776072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9776153Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9776421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9776501Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9776729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9776810Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9777084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9777206Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9777455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9777529Z     return self.act(input)
2025-08-26T21:10:24.9777533Z 
2025-08-26T21:10:24.9777646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9777845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9777912Z     return mod(*inputs)
2025-08-26T21:10:24.9778196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9778268Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9778548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9778620Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9778849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9778939Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9779225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9779318Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9779322Z 
2025-08-26T21:10:24.9779425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9779628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9779700Z     return mod(*inputs)
2025-08-26T21:10:24.9779977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9780079Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9780353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9780454Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9780681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9780762Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9781037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9781128Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9781400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9781515Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9781519Z 
2025-08-26T21:10:24.9781622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9781828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9781896Z     return mod(*inputs)
2025-08-26T21:10:24.9782175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9782250Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9782521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9782593Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9782819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9782906Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9783176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9783274Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9783563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9783731Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9783737Z 
2025-08-26T21:10:24.9783848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9784050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9784123Z     return mod(*inputs)
2025-08-26T21:10:24.9784397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9784477Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9784748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9784820Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9785058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9785138Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9785435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9785527Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9785797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9785977Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9785981Z 
2025-08-26T21:10:24.9786082Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9786171Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9786250Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9786327Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9786460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9786662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9786736Z     return mod(*inputs)
2025-08-26T21:10:24.9787013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9787088Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9787366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9787439Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9787677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9787759Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9788035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9788132Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9788405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9788516Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9788820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9788965Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9788968Z 
2025-08-26T21:10:24.9789074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9789285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9789350Z     return mod(*inputs)
2025-08-26T21:10:24.9789624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9789725Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9789999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9790081Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9790310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9790389Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9790667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9790760Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9791037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9791135Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9791438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9791559Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9791579Z 
2025-08-26T21:10:24.9791686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9791896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9791963Z     return mod(*inputs)
2025-08-26T21:10:24.9792242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9792340Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9792692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9792784Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9793047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9793139Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9793420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9793516Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9793801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9793897Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9793901Z 
2025-08-26T21:10:24.9794015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9794222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9794295Z     return mod(*inputs)
2025-08-26T21:10:24.9794574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9794653Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9794944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9795020Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9795265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9795347Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9795624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9795719Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9795723Z 
2025-08-26T21:10:24.9795830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9796042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9796184Z     return mod(*inputs)
2025-08-26T21:10:24.9796476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9796554Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9796836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9796918Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9797154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9797240Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9797522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9797649Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9797655Z 
2025-08-26T21:10:24.9797771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9797978Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9798081Z     return mod(*inputs)
2025-08-26T21:10:24.9798367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9798444Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9798727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9798802Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9799063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9799142Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9799427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9799574Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9799804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9799886Z     return self.act(input)
2025-08-26T21:10:24.9799889Z 
2025-08-26T21:10:24.9799999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9800215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9800283Z     return mod(*inputs)
2025-08-26T21:10:24.9800563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9800648Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9800926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9801010Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9801248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9801338Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9801615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9801702Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9801706Z 
2025-08-26T21:10:24.9801821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9802030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9802105Z     return mod(*inputs)
2025-08-26T21:10:24.9802390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9802466Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9802774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9802849Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9803096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9803186Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9803442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9803537Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9803793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9803913Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9803917Z 
2025-08-26T21:10:24.9804021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9804228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9804293Z     return mod(*inputs)
2025-08-26T21:10:24.9804590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9804669Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9804926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9805003Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9805218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9805313Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9805573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9805682Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9805946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9806105Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9806109Z 
2025-08-26T21:10:24.9806215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9806404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9806464Z     return mod(*inputs)
2025-08-26T21:10:24.9806733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9806804Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9807069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9807138Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9807355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9807441Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9807700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9807793Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9808052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9808224Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9808227Z 
2025-08-26T21:10:24.9808306Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9808383Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9808468Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9808564Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9808673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9808865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9808927Z     return mod(*inputs)
2025-08-26T21:10:24.9809195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9809265Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9809527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9809598Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9809813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9809896Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9810157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9810250Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9810523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9810627Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9810914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9811044Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9811063Z 
2025-08-26T21:10:24.9811172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9811363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9811452Z     return mod(*inputs)
2025-08-26T21:10:24.9811709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9811781Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9812044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9812113Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9812336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9812411Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9812671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9812759Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9813015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9813124Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9813424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9813544Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9813548Z 
2025-08-26T21:10:24.9813652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9813855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9813928Z     return mod(*inputs)
2025-08-26T21:10:24.9814200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9814283Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9814737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9814875Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9815107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9815190Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9815470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9815563Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9815841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9815922Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9815926Z 
2025-08-26T21:10:24.9816026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9816227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9816292Z     return mod(*inputs)
2025-08-26T21:10:24.9816558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9816653Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9816913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9816994Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9817225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9817315Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9817613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9817742Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9817768Z 
2025-08-26T21:10:24.9817874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9818076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9818159Z     return mod(*inputs)
2025-08-26T21:10:24.9818419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9818498Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9818753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9818823Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9819048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9819124Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9819388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9819504Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9819722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9819790Z     return self.act(input)
2025-08-26T21:10:24.9819793Z 
2025-08-26T21:10:24.9819893Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9820091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9820157Z     return mod(*inputs)
2025-08-26T21:10:24.9820423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9820495Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9820749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9820830Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9821067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9821151Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9821408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9821495Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9821499Z 
2025-08-26T21:10:24.9821598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9821786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9821859Z     return mod(*inputs)
2025-08-26T21:10:24.9822117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9822192Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9822452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9822521Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9822764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9822842Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9823116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9823209Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9823479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9823617Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9823621Z 
2025-08-26T21:10:24.9823725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9823955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9824026Z     return mod(*inputs)
2025-08-26T21:10:24.9824312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9824391Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9824663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9824747Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9824980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9825072Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9825351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9825448Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9825733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9825908Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9825912Z 
2025-08-26T21:10:24.9826030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9826237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9826312Z     return mod(*inputs)
2025-08-26T21:10:24.9826591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9826670Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9826952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9827029Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9827286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9827369Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9827642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9827739Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9828008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9828183Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9828189Z 
2025-08-26T21:10:24.9828272Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9828386Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9828494Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9828585Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9828721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9829002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9829083Z     return mod(*inputs)
2025-08-26T21:10:24.9829425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9829506Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9829857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9829955Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9830238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9830321Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9830692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9830796Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9831172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9831282Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9831642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9831801Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9831807Z 
2025-08-26T21:10:24.9831917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9832174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9832253Z     return mod(*inputs)
2025-08-26T21:10:24.9832834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9832936Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9833232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9833310Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9833569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9833656Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9833961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9834055Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9834375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9834538Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9834903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9835029Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9835034Z 
2025-08-26T21:10:24.9835140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9835386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9835453Z     return mod(*inputs)
2025-08-26T21:10:24.9835764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9835850Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9836145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9836228Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9836481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9836581Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9836889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9836980Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9837280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9837363Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9837386Z 
2025-08-26T21:10:24.9837500Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9837724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9837809Z     return mod(*inputs)
2025-08-26T21:10:24.9838117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9838192Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9838490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9838562Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9838823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9838910Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9839205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9839298Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9839301Z 
2025-08-26T21:10:24.9839409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9839629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9839695Z     return mod(*inputs)
2025-08-26T21:10:24.9839979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9840061Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9840341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9840423Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9840657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9840739Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9841024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9841153Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9841176Z 
2025-08-26T21:10:24.9841292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9841508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9841580Z     return mod(*inputs)
2025-08-26T21:10:24.9841865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9841940Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9842215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9842289Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9842531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9842612Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9842896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9843043Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9843263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9843343Z     return self.act(input)
2025-08-26T21:10:24.9843347Z 
2025-08-26T21:10:24.9843452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9843672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9843755Z     return mod(*inputs)
2025-08-26T21:10:24.9844042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9844123Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9844433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9844513Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9844746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9844826Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9845112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9845196Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9845199Z 
2025-08-26T21:10:24.9845310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9845567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9845642Z     return mod(*inputs)
2025-08-26T21:10:24.9845907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9845981Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9846242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9846311Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9846533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9846609Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9846869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9846972Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9847252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9847379Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9847382Z 
2025-08-26T21:10:24.9847507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9847712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9847790Z     return mod(*inputs)
2025-08-26T21:10:24.9848075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9848158Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9848436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9848518Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9848752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9848826Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9849091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9849178Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9849451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9849611Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9849615Z 
2025-08-26T21:10:24.9849716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9849912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9849992Z     return mod(*inputs)
2025-08-26T21:10:24.9850262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9850332Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9850613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9850682Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9850901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9850983Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9851239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9851331Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9851583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9851750Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9851754Z 
2025-08-26T21:10:24.9851845Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9851930Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9852016Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9852092Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9852198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9852406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9852472Z     return mod(*inputs)
2025-08-26T21:10:24.9852758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9852832Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9853112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9853194Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9853430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9853537Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9853819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9853920Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9854206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9854306Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9854611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9854753Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9854757Z 
2025-08-26T21:10:24.9854869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9858269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9858363Z     return mod(*inputs)
2025-08-26T21:10:24.9858666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9858745Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9859046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9859121Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9859356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9859475Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9859749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9859849Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9860182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9860282Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9860588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9860704Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9860709Z 
2025-08-26T21:10:24.9860820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9861022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9861089Z     return mod(*inputs)
2025-08-26T21:10:24.9861367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9861441Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9861723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9861796Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9862026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9862118Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9862382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9862481Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9862747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9862841Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9862844Z 
2025-08-26T21:10:24.9862948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9863173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9863251Z     return mod(*inputs)
2025-08-26T21:10:24.9863524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9863609Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9863879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9863952Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9864191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9864272Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9864549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9864676Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9864748Z 
2025-08-26T21:10:24.9864864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9865069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9865135Z     return mod(*inputs)
2025-08-26T21:10:24.9865415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9865490Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9865767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9865859Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9866088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9866174Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9866464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9866595Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9866816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9866890Z     return self.act(input)
2025-08-26T21:10:24.9866901Z 
2025-08-26T21:10:24.9867006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9867210Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9867283Z     return mod(*inputs)
2025-08-26T21:10:24.9867559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9867640Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9867913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9867989Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9868223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9868301Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9868580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9868662Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9868666Z 
2025-08-26T21:10:24.9868769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9868979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9869045Z     return mod(*inputs)
2025-08-26T21:10:24.9869325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9869401Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9869702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9869779Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9870010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9870097Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9870365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9870465Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9870736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9870854Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9870859Z 
2025-08-26T21:10:24.9871009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9871215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9871288Z     return mod(*inputs)
2025-08-26T21:10:24.9871560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9871640Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9871909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9871982Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9872249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9872330Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9872687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9872812Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9873091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9873276Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9873280Z 
2025-08-26T21:10:24.9873390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9873608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9873676Z     return mod(*inputs)
2025-08-26T21:10:24.9873967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9874055Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9874330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9874416Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9874642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9874727Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9874997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9875088Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9875367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9875542Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9875546Z 
2025-08-26T21:10:24.9875637Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9875721Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9875822Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9875909Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9876020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9876234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9876303Z     return mod(*inputs)
2025-08-26T21:10:24.9876581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9876668Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9876941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9877030Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9877265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9877381Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9877653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9877745Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9878019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9878119Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9878427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9878584Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9878588Z 
2025-08-26T21:10:24.9878700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9878904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9878990Z     return mod(*inputs)
2025-08-26T21:10:24.9879276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9879351Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9879628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9879699Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9879926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9880016Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9880288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9880385Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9880659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9880759Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9881066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9881183Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9881187Z 
2025-08-26T21:10:24.9881299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9881502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9881589Z     return mod(*inputs)
2025-08-26T21:10:24.9881848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9881919Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9882203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9882275Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9882499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9882575Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9882837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9882937Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9883204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9883297Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9883301Z 
2025-08-26T21:10:24.9883409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9883641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9883714Z     return mod(*inputs)
2025-08-26T21:10:24.9883997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9884081Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9884382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9884462Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9884695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9884809Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9885086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9885166Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9885188Z 
2025-08-26T21:10:24.9885313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9885515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9885590Z     return mod(*inputs)
2025-08-26T21:10:24.9885859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9885933Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9886208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9886282Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9886518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9886599Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9886871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9887006Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9887010Z 
2025-08-26T21:10:24.9887114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9887323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9887388Z     return mod(*inputs)
2025-08-26T21:10:24.9887667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9887741Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9888012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9888092Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9888318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9888426Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9888699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9888820Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9889047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9889119Z     return self.act(input)
2025-08-26T21:10:24.9889123Z 
2025-08-26T21:10:24.9889233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9889435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9889501Z     return mod(*inputs)
2025-08-26T21:10:24.9889789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9889861Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9890143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9890215Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9890438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9890514Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9890770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9890856Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9890882Z 
2025-08-26T21:10:24.9890987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9891191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9891278Z     return mod(*inputs)
2025-08-26T21:10:24.9891556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9891638Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9891911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9891988Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9892216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9892301Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9892576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9892671Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9892950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9893070Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9893074Z 
2025-08-26T21:10:24.9893186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9893389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9893455Z     return mod(*inputs)
2025-08-26T21:10:24.9893739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9893814Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9894092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9894166Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9894401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9894481Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9894780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9894883Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9895158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9895335Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9895338Z 
2025-08-26T21:10:24.9895449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9895654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9895732Z     return mod(*inputs)
2025-08-26T21:10:24.9896011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9896128Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9896403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9896482Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9896711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9896790Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9897068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9897160Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9897458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9897629Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9897649Z 
2025-08-26T21:10:24.9897735Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9897825Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9897908Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9897995Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9898101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9898308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9898382Z     return mod(*inputs)
2025-08-26T21:10:24.9898658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9898745Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9899021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9899093Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9899334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9899416Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9899695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9899789Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9900064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9900167Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9900468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9900616Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9900620Z 
2025-08-26T21:10:24.9900727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9900958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9901027Z     return mod(*inputs)
2025-08-26T21:10:24.9901309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9901392Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9901664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9901743Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9901972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9902062Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9902336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9902451Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9902733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9902831Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9903135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9903249Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9903253Z 
2025-08-26T21:10:24.9903364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9903587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9903653Z     return mod(*inputs)
2025-08-26T21:10:24.9903931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9904028Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9904305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9904378Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9904606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9904695Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9904964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9905062Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9905331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9905414Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9905428Z 
2025-08-26T21:10:24.9905535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9905738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9905811Z     return mod(*inputs)
2025-08-26T21:10:24.9906083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9906162Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9906432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9906504Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9906740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9906820Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9907093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9907235Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9907239Z 
2025-08-26T21:10:24.9907342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9907549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9907615Z     return mod(*inputs)
2025-08-26T21:10:24.9907890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9907965Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9908243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9908317Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9908542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9908643Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9908915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9909043Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9909263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9909337Z     return self.act(input)
2025-08-26T21:10:24.9909341Z 
2025-08-26T21:10:24.9909450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9909651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9909746Z     return mod(*inputs)
2025-08-26T21:10:24.9910026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9910123Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9910402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9910475Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9910715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9910795Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9911078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9911164Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9911169Z 
2025-08-26T21:10:24.9911275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9911487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9911554Z     return mod(*inputs)
2025-08-26T21:10:24.9911848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9911924Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9912199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9912280Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9912515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9912683Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9912962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9913067Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9913337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9913457Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9913484Z 
2025-08-26T21:10:24.9913600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9913805Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9913881Z     return mod(*inputs)
2025-08-26T21:10:24.9914157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9914231Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9914698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9914783Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9915021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9915102Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9915420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9915525Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9915794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9915970Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9915974Z 
2025-08-26T21:10:24.9916078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9916287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9916385Z     return mod(*inputs)
2025-08-26T21:10:24.9916660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9916768Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9917041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9917123Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9917350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9917430Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9917708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9917800Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9918084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9918256Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9918262Z 
2025-08-26T21:10:24.9918354Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9918438Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9918517Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9918602Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9918708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9918916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9918980Z     return mod(*inputs)
2025-08-26T21:10:24.9919255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9919339Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9919610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9919690Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9919958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9920040Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9920314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9920405Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9920681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9920782Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9921089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9921227Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9921231Z 
2025-08-26T21:10:24.9921336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9921567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9921637Z     return mod(*inputs)
2025-08-26T21:10:24.9921916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9921990Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9922259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9922340Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9922551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9922655Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9922908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9923019Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9923277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9923370Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9923661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9923769Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9923772Z 
2025-08-26T21:10:24.9923877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9924067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9924131Z     return mod(*inputs)
2025-08-26T21:10:24.9924394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9924467Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9924730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9924799Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9925019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9925094Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9925350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9925442Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9925697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9925783Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9925788Z 
2025-08-26T21:10:24.9925884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9926094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9926167Z     return mod(*inputs)
2025-08-26T21:10:24.9926424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9926502Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9926762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9926837Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9927052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9927127Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9927390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9927490Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9927495Z 
2025-08-26T21:10:24.9927604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9927796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9927859Z     return mod(*inputs)
2025-08-26T21:10:24.9928128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9928198Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9928461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9928551Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9928767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9928867Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9929124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9929250Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9929254Z 
2025-08-26T21:10:24.9929353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9929551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9929613Z     return mod(*inputs)
2025-08-26T21:10:24.9929873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9929954Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9930217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9930298Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9930528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9930606Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9930884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9931003Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9931231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9931312Z     return self.act(input)
2025-08-26T21:10:24.9931315Z 
2025-08-26T21:10:24.9931420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9931613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9931674Z     return mod(*inputs)
2025-08-26T21:10:24.9931945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9932036Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9932297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9932367Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9932582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9932666Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9932934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9933027Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9933030Z 
2025-08-26T21:10:24.9933135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9933342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9933428Z     return mod(*inputs)
2025-08-26T21:10:24.9933702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9933785Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9934056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9934136Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9934363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9934442Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9934741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9934835Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9935167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9935280Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9935284Z 
2025-08-26T21:10:24.9935396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9935596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9935660Z     return mod(*inputs)
2025-08-26T21:10:24.9935938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9936012Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9936286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9936358Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9936588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9936674Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9936941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9937037Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9937303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9937468Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9937479Z 
2025-08-26T21:10:24.9937584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9937784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9937856Z     return mod(*inputs)
2025-08-26T21:10:24.9938147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9938232Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9938501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9938573Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9938809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9938887Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9939164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9939257Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9939525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9939723Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9939728Z 
2025-08-26T21:10:24.9939812Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9939901Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9939981Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9940065Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9940175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9940378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9940453Z     return mod(*inputs)
2025-08-26T21:10:24.9940730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9940831Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9941102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9941203Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9941439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9941519Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9941795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9941887Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9942154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9942266Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9942565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9942711Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9942717Z 
2025-08-26T21:10:24.9942824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9943032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9943098Z     return mod(*inputs)
2025-08-26T21:10:24.9943371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9943455Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9943722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9943803Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9944032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9944112Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9944412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9944505Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9944783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9944883Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9945192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9945314Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9945318Z 
2025-08-26T21:10:24.9945429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9945648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9945718Z     return mod(*inputs)
2025-08-26T21:10:24.9946025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9946104Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9946374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9946454Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9946684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9946769Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9947043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9947159Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9947426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9947529Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9947534Z 
2025-08-26T21:10:24.9947646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9947847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9947920Z     return mod(*inputs)
2025-08-26T21:10:24.9948192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9948266Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9948543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9948617Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9948848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9948927Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9949201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9949330Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9949333Z 
2025-08-26T21:10:24.9949437Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9949645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9949710Z     return mod(*inputs)
2025-08-26T21:10:24.9949999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9950076Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9950356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9950435Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9950682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9950770Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9951053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9951174Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9951401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9951474Z     return self.act(input)
2025-08-26T21:10:24.9951478Z 
2025-08-26T21:10:24.9951587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9951788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9951861Z     return mod(*inputs)
2025-08-26T21:10:24.9952142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9952235Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9952514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9952653Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9952912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9952993Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9953284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9953410Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9953414Z 
2025-08-26T21:10:24.9953523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9953754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9953843Z     return mod(*inputs)
2025-08-26T21:10:24.9954140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9954225Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9954501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9954579Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9954795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9954878Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9955137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9955224Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9955496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:10:24.9955604Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:10:24.9955607Z 
2025-08-26T21:10:24.9955714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9955904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9955967Z     return mod(*inputs)
2025-08-26T21:10:24.9956256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9956332Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9956622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9956695Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9956939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9957360Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9957650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9957751Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9958036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:10:24.9958211Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9958215Z 
2025-08-26T21:10:24.9958318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9958522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9958596Z     return mod(*inputs)
2025-08-26T21:10:24.9958900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9958991Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9959277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9959358Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9959599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9959678Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9959963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9960070Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9960334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:10:24.9960518Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:10:24.9960522Z 
2025-08-26T21:10:24.9960603Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9960687Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9960762Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9960841Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9960942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9961132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9961202Z     return mod(*inputs)
2025-08-26T21:10:24.9961463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9961545Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9961806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9961884Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9962094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9962166Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9962424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9962508Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9962765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9962857Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9963158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:10:24.9963306Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:10:24.9963311Z 
2025-08-26T21:10:24.9963437Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9963651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9963719Z     return mod(*inputs)
2025-08-26T21:10:24.9964022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9964097Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9964367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9964449Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9964681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9964767Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9965087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9965184Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9965468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:10:24.9965566Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:10:24.9965875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:10:24.9965990Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:10:24.9965994Z 
2025-08-26T21:10:24.9966106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9966335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9966400Z     return mod(*inputs)
2025-08-26T21:10:24.9966683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9966776Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9967057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9967130Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9967361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9967447Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9967744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:10:24.9967845Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:10:24.9968117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:10:24.9968208Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:10:24.9968213Z 
2025-08-26T21:10:24.9968318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9968521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9968593Z     return mod(*inputs)
2025-08-26T21:10:24.9968892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9968973Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9969245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9969319Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9969553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9969630Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9969934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:10:24.9970019Z     hidden_states = residual + hidden_states
2025-08-26T21:10:24.9970023Z 
2025-08-26T21:10:24.9970127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9970335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9970400Z     return mod(*inputs)
2025-08-26T21:10:24.9970682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9970757Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9971039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9971113Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9971342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9971451Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9971725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9971857Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9971861Z 
2025-08-26T21:10:24.9971965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9972173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9972250Z     return mod(*inputs)
2025-08-26T21:10:24.9972532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9972635Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9972907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9973007Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9973234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9973313Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9973592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:10:24.9973712Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:10:24.9973940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:10:24.9974014Z     return self.act(input)
2025-08-26T21:10:24.9974017Z 
2025-08-26T21:10:24.9974122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9974330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9974399Z     return mod(*inputs)
2025-08-26T21:10:24.9974681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:10:24.9974757Z     encoder_outputs = self.encoder(
2025-08-26T21:10:24.9975024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:10:24.9975105Z     layer_outputs = encoder_layer(
2025-08-26T21:10:24.9975330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:10:24.9975417Z     return super().__call__(*args, **kwargs)
2025-08-26T21:10:24.9975685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:10:24.9975779Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:10:24.9975782Z 
2025-08-26T21:10:24.9975890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9976112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9976189Z     return mod(*inputs)
2025-08-26T21:10:24.9976462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1612, in forward
2025-08-26T21:10:24.9976564Z     hidden_states = self.projector(hidden_states)
2025-08-26T21:10:24.9976568Z 
2025-08-26T21:10:24.9976649Z cudagraph partition due to non gpu ops
2025-08-26T21:10:24.9976753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9976960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9977027Z     return mod(*inputs)
2025-08-26T21:10:24.9977306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1613, in forward
2025-08-26T21:10:24.9977395Z     pooled_output = hidden_states.mean(dim=1)
2025-08-26T21:10:24.9977400Z 
2025-08-26T21:10:24.9977536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:24.9977724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:24.9977788Z     return mod(*inputs)
2025-08-26T21:10:24.9978051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1615, in forward
2025-08-26T21:10:24.9978133Z     logits = self.classifier(pooled_output)
2025-08-26T21:10:24.9978137Z 
2025-08-26T21:10:41.8400366Z Compilation time (from dynamo_timed): 42.182309159
2025-08-26T21:10:41.8400675Z pass
2025-08-26T21:10:41.8400967Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:10:41.8405672Z TIMING: _recursive_pre_grad_passes:0.01263 _recursive_joint_graph_passes:0.90334 _recursive_post_grad_passes:0.1966 async_compile.wait:0.73283 code_gen:11.91368 inductor_compile:17.26491 backend_compile:34.36563 gc:0.00062 entire_frame_compile:42.18231 total_wall_time:42.18231
2025-08-26T21:10:41.8406842Z STATS: call_* op count: 781 | FakeTensorMode.__torch_dispatch__:24856 | attempt fast:59 | fast is_contiguous:55 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:8551 | ProxyTorchDispatchMode.__torch_dispatch__:9152
2025-08-26T21:10:41.8407491Z Dynamo produced 1 graphs covering 781 ops with 0 graph breaks (0 unique)
2025-08-26T21:10:47.9401427Z 
2025-08-26T21:10:48.1076158Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:10:48.1076460Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:10:48.1076691Z cpu  eval  lennard_jones                      
2025-08-26T21:10:48.1087795Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:10:48.1110139Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:10:48.1121508Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:10:50.4393303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4393795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4396256Z     return mod(*inputs)
2025-08-26T21:10:50.4396650Z 
2025-08-26T21:10:50.4397064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4397523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4397894Z     return mod(*inputs)
2025-08-26T21:10:50.4398008Z 
2025-08-26T21:10:50.4398158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4398579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4398931Z     return mod(*inputs)
2025-08-26T21:10:50.4399047Z 
2025-08-26T21:10:50.4399168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4399572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4400210Z     return mod(*inputs)
2025-08-26T21:10:50.4400325Z 
2025-08-26T21:10:50.4400438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4400833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4401218Z     return mod(*inputs)
2025-08-26T21:10:50.4401335Z 
2025-08-26T21:10:50.4401454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4401835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4402191Z     return mod(*inputs)
2025-08-26T21:10:50.4402307Z 
2025-08-26T21:10:50.4402411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4402799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4403142Z     return mod(*inputs)
2025-08-26T21:10:50.4403246Z 
2025-08-26T21:10:50.4403422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4403843Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4404184Z     return mod(*inputs)
2025-08-26T21:10:50.4404286Z 
2025-08-26T21:10:50.4404400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:10:50.4404781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:10:50.4405117Z     return mod(*inputs)
2025-08-26T21:10:50.4405229Z 
2025-08-26T21:10:56.5101725Z Compilation time (from dynamo_timed): 7.409873567
2025-08-26T21:10:56.5102212Z pass
2025-08-26T21:10:56.5110654Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:10:56.5111620Z TIMING: _recursive_pre_grad_passes:0.00366 _recursive_joint_graph_passes:0.33899 _recursive_post_grad_passes:0.01683 async_compile.wait:0.58829 code_gen:5.97506 inductor_compile:6.06792 backend_compile:7.15727 gc:0.00111 entire_frame_compile:7.40987 total_wall_time:7.40987
2025-08-26T21:10:56.5113279Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:772 | attempt fast:8 | fast is_contiguous:8 | ProxyTorchDispatchMode.__torch_dispatch__:176
2025-08-26T21:10:56.5113907Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique)
2025-08-26T21:10:57.8167552Z accuracy            pass_rate=91.43%
2025-08-26T21:10:57.8175954Z calls_captured      gmean=0.00x mean=320.429x
2025-08-26T21:10:57.8176995Z unique_graphs       gmean=0.00x mean=2.400x
2025-08-26T21:10:57.8183255Z graph_breaks        gmean=0.00x mean=1.686x
2025-08-26T21:10:57.8186285Z unique_graph_breaks gmean=0.00x mean=0.429x
2025-08-26T21:10:57.8186734Z autograd_captures   gmean=0.00x mean=0.000x
2025-08-26T21:10:57.8187065Z autograd_compiles   gmean=0.00x mean=0.000x
2025-08-26T21:10:57.8187440Z cudagraph_skips     gmean=0.00x mean=2.086x
2025-08-26T21:10:57.8188103Z compilation_latency mean=28.644 seconds
2025-08-26T21:10:58.5387282Z + 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
2025-08-26T21:10:58.8481219Z BERT_pytorch                        PASS
2025-08-26T21:10:58.8485032Z Background_Matting                  XFAIL
2025-08-26T21:10:58.8485382Z LearningToPaint                     PASS
2025-08-26T21:10:58.8489237Z Super_SloMo                         PASS
2025-08-26T21:10:58.8492469Z alexnet                             PASS
2025-08-26T21:10:58.8494066Z basic_gnn_edgecnn                   PASS
2025-08-26T21:10:58.8497569Z basic_gnn_gcn                       PASS
2025-08-26T21:10:58.8504382Z basic_gnn_gin                       PASS
2025-08-26T21:10:58.8508339Z basic_gnn_sage                      PASS
2025-08-26T21:10:58.8508552Z dcgan                               PASS
2025-08-26T21:10:58.8511834Z demucs                              PASS
2025-08-26T21:10:58.8515725Z densenet121                         PASS
2025-08-26T21:10:58.8522456Z dlrm                                PASS
2025-08-26T21:10:58.8522740Z doctr_det_predictor                 PASS
2025-08-26T21:10:58.8533135Z doctr_reco_predictor                PASS
2025-08-26T21:10:58.8533422Z drq                                 PASS
2025-08-26T21:10:58.8533878Z fastNLP_Bert                        PASS
2025-08-26T21:10:58.8539441Z functorch_dp_cifar10                PASS
2025-08-26T21:10:58.8543829Z functorch_maml_omniglot             PASS
2025-08-26T21:10:58.8547095Z hf_Albert                           PASS
2025-08-26T21:10:58.8550409Z hf_Bart                             PASS
2025-08-26T21:10:58.8558627Z hf_Bert                             PASS
2025-08-26T21:10:58.8565062Z hf_Bert_large                       PASS
2025-08-26T21:10:58.8568484Z hf_BigBird                          PASS
2025-08-26T21:10:58.8568798Z hf_DistilBert                       PASS
2025-08-26T21:10:58.8569230Z hf_GPT2                             PASS
2025-08-26T21:10:58.8578102Z hf_GPT2_large                       XFAIL
2025-08-26T21:10:58.8578427Z hf_Longformer                       PASS
2025-08-26T21:10:58.8578896Z hf_Reformer                         PASS
2025-08-26T21:10:58.8581439Z hf_Roberta_base                     PASS
2025-08-26T21:10:58.8586306Z hf_T5                               PASS
2025-08-26T21:10:58.8588944Z hf_T5_base                          PASS
2025-08-26T21:10:58.8592114Z hf_T5_large                         XFAIL
2025-08-26T21:10:58.8598485Z hf_distil_whisper                   PASS
2025-08-26T21:10:58.8599784Z lennard_jones                       PASS
2025-08-26T21:10:58.9116293Z + 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
2025-08-26T21:10:59.1908789Z BERT_pytorch                        PASS
2025-08-26T21:10:59.1909229Z Background_Matting                  PASS
2025-08-26T21:10:59.1912349Z LearningToPaint                     PASS
2025-08-26T21:10:59.1921822Z Super_SloMo                         PASS
2025-08-26T21:10:59.1922062Z alexnet                             PASS
2025-08-26T21:10:59.1929814Z basic_gnn_edgecnn                   PASS
2025-08-26T21:10:59.1932681Z basic_gnn_gcn                       PASS
2025-08-26T21:10:59.1932914Z basic_gnn_gin                       PASS
2025-08-26T21:10:59.1937528Z basic_gnn_sage                      PASS
2025-08-26T21:10:59.1942906Z dcgan                               PASS
2025-08-26T21:10:59.1947687Z demucs                              PASS
2025-08-26T21:10:59.1947981Z densenet121                         PASS
2025-08-26T21:10:59.1950995Z dlrm                                PASS
2025-08-26T21:10:59.1951633Z doctr_det_predictor                 PASS
2025-08-26T21:10:59.1962450Z doctr_reco_predictor                PASS
2025-08-26T21:10:59.1965282Z drq                                 PASS
2025-08-26T21:10:59.1968534Z fastNLP_Bert                        PASS
2025-08-26T21:10:59.1968782Z functorch_dp_cifar10                PASS
2025-08-26T21:10:59.1969010Z functorch_maml_omniglot             PASS
2025-08-26T21:10:59.1974018Z hf_Albert                           PASS
2025-08-26T21:10:59.1974328Z hf_Bart                             PASS
2025-08-26T21:10:59.1978894Z hf_Bert                             PASS
2025-08-26T21:10:59.1980456Z hf_Bert_large                       PASS
2025-08-26T21:10:59.1983506Z hf_BigBird                          PASS
2025-08-26T21:10:59.1988122Z hf_DistilBert                       PASS
2025-08-26T21:10:59.1989857Z hf_GPT2                             PASS
2025-08-26T21:10:59.1996348Z hf_GPT2_large                       PASS
2025-08-26T21:10:59.1996782Z hf_Longformer                       PASS
2025-08-26T21:10:59.2003396Z hf_Reformer                         PASS
2025-08-26T21:10:59.2004157Z hf_Roberta_base                     PASS
2025-08-26T21:10:59.2008109Z hf_T5                               PASS
2025-08-26T21:10:59.2017835Z hf_T5_base                          PASS
2025-08-26T21:10:59.2018066Z hf_T5_large                         PASS
2025-08-26T21:10:59.2018281Z hf_distil_whisper                   PASS
2025-08-26T21:10:59.2022152Z lennard_jones                       PASS
2025-08-26T21:10:59.2546460Z + sccache_epilogue
2025-08-26T21:10:59.2546795Z + echo '::group::Sccache Compilation Log'
2025-08-26T21:10:59.2547338Z ##[group]Sccache Compilation Log
2025-08-26T21:10:59.2547606Z + echo '=================== sccache compilation log ==================='
2025-08-26T21:10:59.2547967Z =================== sccache compilation log ===================
2025-08-26T21:10:59.2548422Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-26T21:10:59.2788123Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-26T21:10:59.2789027Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-26T21:10:59.2789385Z + sccache --show-stats
2025-08-26T21:10:59.2826131Z Compile requests                    540
2025-08-26T21:10:59.2826469Z Compile requests executed             0
2025-08-26T21:10:59.2826695Z Cache hits                            0
2025-08-26T21:10:59.2826900Z Cache misses                          0
2025-08-26T21:10:59.2827116Z Cache hits rate                       -
2025-08-26T21:10:59.2827319Z Cache timeouts                        0
2025-08-26T21:10:59.2827633Z Cache read errors                     0
2025-08-26T21:10:59.2827841Z Forced recaches                       0
2025-08-26T21:10:59.2828324Z Cache write errors                    0
2025-08-26T21:10:59.2828567Z Cache errors                          0
2025-08-26T21:10:59.2828770Z Compilations                          0
2025-08-26T21:10:59.2829014Z Compilation failures                  0
2025-08-26T21:10:59.2829301Z Non-cacheable compilations            0
2025-08-26T21:10:59.2829535Z Non-cacheable calls                  32
2025-08-26T21:10:59.2829748Z Non-compilation calls               508
2025-08-26T21:10:59.2829964Z Unsupported compiler calls            0
2025-08-26T21:10:59.2830190Z Average cache write               0.000 s
2025-08-26T21:10:59.2830419Z Average compiler                  0.000 s
2025-08-26T21:10:59.2830645Z Average cache read hit            0.000 s
2025-08-26T21:10:59.2830868Z Failed distributed compilations       0
2025-08-26T21:10:59.2831021Z 
2025-08-26T21:10:59.2831097Z Non-cacheable reasons:
2025-08-26T21:10:59.2831308Z -E                                   32
2025-08-26T21:10:59.2831453Z 
2025-08-26T21:10:59.2831633Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T21:10:59.2831938Z Version (client)                0.10.0
2025-08-26T21:10:59.2832161Z + sccache --stop-server
2025-08-26T21:10:59.2853435Z Stopping sccache server...
2025-08-26T21:10:59.2863438Z Compile requests                    540
2025-08-26T21:10:59.2863750Z Compile requests executed             0
2025-08-26T21:10:59.2863990Z Cache hits                            0
2025-08-26T21:10:59.2864205Z Cache misses                          0
2025-08-26T21:10:59.2864425Z Cache hits rate                       -
2025-08-26T21:10:59.2864636Z Cache timeouts                        0
2025-08-26T21:10:59.2864852Z Cache read errors                     0
2025-08-26T21:10:59.2865058Z Forced recaches                       0
2025-08-26T21:10:59.2865280Z Cache write errors                    0
2025-08-26T21:10:59.2865490Z Cache errors                          0
2025-08-26T21:10:59.2865713Z Compilations                          0
2025-08-26T21:10:59.2865928Z Compilation failures                  0
2025-08-26T21:10:59.2866162Z Non-cacheable compilations            0
2025-08-26T21:10:59.2866375Z Non-cacheable calls                  32
2025-08-26T21:10:59.2866590Z Non-compilation calls               508
2025-08-26T21:10:59.2866804Z Unsupported compiler calls            0
2025-08-26T21:10:59.2867239Z Average cache write               0.000 s
2025-08-26T21:10:59.2867470Z Average compiler                  0.000 s
2025-08-26T21:10:59.2867693Z Average cache read hit            0.000 s
2025-08-26T21:10:59.2867909Z Failed distributed compilations       0
2025-08-26T21:10:59.2868059Z 
2025-08-26T21:10:59.2868135Z Non-cacheable reasons:
2025-08-26T21:10:59.2868324Z -E                                   32
2025-08-26T21:10:59.2868456Z 
2025-08-26T21:10:59.2868636Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T21:10:59.2868952Z Version (client)                0.10.0
2025-08-26T21:10:59.2869239Z + echo ::endgroup::
2025-08-26T21:10:59.2869824Z ##[endgroup]
2025-08-26T21:10:59.2869990Z + cleanup_workspace
2025-08-26T21:10:59.2870324Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-26T21:10:59.2870866Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-26T21:10:59.2871298Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-26T21:10:59.2871607Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-26T21:10:59.2872017Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-26T21:10:59.2872399Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-26T21:10:59.2872938Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-26T21:10:59.7189485Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-26T21:10:59.7189877Z with:
2025-08-26T21:10:59.7190194Z   benchmark-results-dir: test/test-reports
2025-08-26T21:10:59.7190466Z   dry-run: false
2025-08-26T21:10:59.7190663Z   schema-version: v3
2025-08-26T21:10:59.7191105Z   github-token: ***
2025-08-26T21:10:59.7191306Z env:
2025-08-26T21:10:59.7191497Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:10:59.7191937Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:10:59.7192330Z ##[endgroup]
2025-08-26T21:10:59.7216356Z ##[group]Run set -eux
2025-08-26T21:10:59.7216567Z set -eux
2025-08-26T21:10:59.7216825Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T21:10:59.7217110Z 
2025-08-26T21:10:59.7217274Z DEVICE_NAME=""
2025-08-26T21:10:59.7217456Z DEVICE_TYPE=""
2025-08-26T21:10:59.7217634Z 
2025-08-26T21:10:59.7217846Z if command -v nvidia-smi; then
2025-08-26T21:10:59.7218144Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-26T21:10:59.7218527Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-26T21:10:59.7218878Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-26T21:10:59.7219169Z   python3 -mpip install torch==2.7.1
2025-08-26T21:10:59.7219412Z elif command -v rocminfo; then
2025-08-26T21:10:59.7219707Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-26T21:10:59.7220077Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-26T21:10:59.7220451Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-26T21:10:59.7220773Z   # GPU device name coming from rocminfo instead
2025-08-26T21:10:59.7221014Z   DEVICE_NAME=rocm
2025-08-26T21:10:59.7221340Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-26T21:10:59.7221665Z fi
2025-08-26T21:10:59.7221827Z 
2025-08-26T21:10:59.7222023Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-26T21:10:59.7222292Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-26T21:10:59.7231188Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:10:59.7231464Z env:
2025-08-26T21:10:59.7231646Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:10:59.7231991Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:10:59.7232340Z ##[endgroup]
2025-08-26T21:10:59.7267959Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T21:10:59.9178035Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T21:11:00.6909785Z Collecting boto3==1.35.33
2025-08-26T21:11:00.7058584Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-26T21:11:00.9444120Z Collecting psutil==7.0.0
2025-08-26T21:11:00.9477993Z   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)
2025-08-26T21:11:00.9754946Z Collecting pynvml==12.0.0
2025-08-26T21:11:00.9785014Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-26T21:11:01.8255317Z Collecting botocore<1.36.0,>=1.35.33
2025-08-26T21:11:01.8295925Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-26T21:11:01.9229041Z 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)
2025-08-26T21:11:01.9531181Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-26T21:11:01.9564049Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-26T21:11:01.9941461Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-26T21:11:01.9973161Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-26T21:11:02.0051082Z 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)
2025-08-26T21:11:02.0062942Z 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)
2025-08-26T21:11:02.1581004Z 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)
2025-08-26T21:11:02.2683038Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-26T21:11:02.6353588Z   Attempting uninstall: nvidia-ml-py
2025-08-26T21:11:02.6354471Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-26T21:11:02.6366909Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-26T21:11:02.6500844Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-26T21:11:02.7001507Z   Attempting uninstall: psutil
2025-08-26T21:11:02.7002051Z     Found existing installation: psutil 5.9.8
2025-08-26T21:11:02.7054363Z     Uninstalling psutil-5.9.8:
2025-08-26T21:11:02.7055019Z       Successfully uninstalled psutil-5.9.8
2025-08-26T21:11:02.8465451Z 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
2025-08-26T21:11:02.9594355Z + DEVICE_NAME=
2025-08-26T21:11:02.9594830Z + DEVICE_TYPE=
2025-08-26T21:11:02.9595352Z + command -v nvidia-smi
2025-08-26T21:11:02.9596042Z + command -v rocminfo
2025-08-26T21:11:02.9596338Z + echo DEVICE_NAME=
2025-08-26T21:11:02.9596517Z + echo DEVICE_TYPE=
2025-08-26T21:11:02.9625488Z ##[group]Run set -eux
2025-08-26T21:11:02.9625685Z set -eux
2025-08-26T21:11:02.9625841Z 
2025-08-26T21:11:02.9626013Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-26T21:11:02.9626242Z   echo "Missing github-token input"
2025-08-26T21:11:02.9626446Z   exit 1
2025-08-26T21:11:02.9626617Z fi
2025-08-26T21:11:02.9632178Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:02.9632442Z env:
2025-08-26T21:11:02.9632797Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:02.9633133Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:02.9633478Z   DEVICE_NAME: 
2025-08-26T21:11:02.9633642Z   DEVICE_TYPE: 
2025-08-26T21:11:02.9634027Z   GITHUB_TOKEN: ***
2025-08-26T21:11:02.9634214Z ##[endgroup]
2025-08-26T21:11:02.9658560Z + [[ -z *** ]]
2025-08-26T21:11:02.9696783Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-26T21:11:02.9697123Z with:
2025-08-26T21:11:02.9697467Z   github-token: ***
2025-08-26T21:11:02.9697660Z env:
2025-08-26T21:11:02.9697843Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:02.9698200Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:02.9698567Z   DEVICE_NAME: 
2025-08-26T21:11:02.9698753Z   DEVICE_TYPE: 
2025-08-26T21:11:02.9698945Z ##[endgroup]
2025-08-26T21:11:02.9715112Z ##[group]Run set -eux
2025-08-26T21:11:02.9715345Z set -eux
2025-08-26T21:11:02.9715529Z 
2025-08-26T21:11:02.9715901Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T21:11:02.9721298Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:02.9721597Z env:
2025-08-26T21:11:02.9721785Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:02.9722143Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:02.9722510Z   DEVICE_NAME: 
2025-08-26T21:11:02.9722698Z   DEVICE_TYPE: 
2025-08-26T21:11:02.9723029Z   GITHUB_TOKEN: ***
2025-08-26T21:11:02.9723205Z ##[endgroup]
2025-08-26T21:11:02.9748535Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463670 i-0f84af936108d86dc
2025-08-26T21:11:04.1054779Z setting job-id=48946862593
2025-08-26T21:11:04.1055258Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T21:11:04.1166173Z ##[group]Run set -eux
2025-08-26T21:11:04.1166451Z set -eux
2025-08-26T21:11:04.1166732Z 
2025-08-26T21:11:04.1167572Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-26T21:11:04.1168071Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-26T21:11:04.1168337Z   --repo "${REPO}" \
2025-08-26T21:11:04.1168660Z   --head-branch "${HEAD_BRANCH}" \
2025-08-26T21:11:04.1168991Z   --head-sha "${HEAD_SHA}" \
2025-08-26T21:11:04.1169303Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-26T21:11:04.1169585Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-26T21:11:04.1169874Z   --job-id "${JOB_ID}" \
2025-08-26T21:11:04.1170166Z   --job-name "${JOB_NAME}"
2025-08-26T21:11:04.1175273Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:04.1175603Z env:
2025-08-26T21:11:04.1175798Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:04.1176158Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:04.1176548Z   DEVICE_NAME: 
2025-08-26T21:11:04.1176821Z   DEVICE_TYPE: 
2025-08-26T21:11:04.1177017Z   SCHEMA_VERSION: v3
2025-08-26T21:11:04.1177278Z   REPO: pytorch/pytorch
2025-08-26T21:11:04.1177512Z   HEAD_BRANCH: refs/heads/main
2025-08-26T21:11:04.1177767Z   HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T21:11:04.1178074Z   WORKFLOW_RUN_ID: 17248463670
2025-08-26T21:11:04.1178320Z   RUN_ATTEMPT: 1
2025-08-26T21:11:04.1178542Z   JOB_ID: 48946862593
2025-08-26T21:11:04.1179013Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T21:11:04.1179458Z ##[endgroup]
2025-08-26T21:11:04.1210908Z + 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 262640fd220236042fbf4443cc163c8838c84c3d --workflow-id 17248463670 --run-attempt 1 --job-id 48946862593 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)'
2025-08-26T21:11:04.1492580Z ##[group]Run set -eux
2025-08-26T21:11:04.1492795Z set -eux
2025-08-26T21:11:04.1492955Z 
2025-08-26T21:11:04.1493220Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-26T21:11:04.1498045Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:04.1498295Z env:
2025-08-26T21:11:04.1498459Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:04.1498765Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:04.1499101Z   DEVICE_NAME: 
2025-08-26T21:11:04.1499265Z   DEVICE_TYPE: 
2025-08-26T21:11:04.1499420Z ##[endgroup]
2025-08-26T21:11:04.1523775Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-26T21:11:04.1867163Z INFO:root:Fail to import torch to get the device name
2025-08-26T21:11:04.1970720Z ##[group]Run set -eux
2025-08-26T21:11:04.1970947Z set -eux
2025-08-26T21:11:04.1971108Z 
2025-08-26T21:11:04.1971287Z # TODO (huydhn): Implement this part
2025-08-26T21:11:04.1971549Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-26T21:11:04.1976223Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:04.1976460Z env:
2025-08-26T21:11:04.1976608Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:04.1976907Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:04.1977341Z   DEVICE_NAME: 
2025-08-26T21:11:04.1977499Z   DEVICE_TYPE: 
2025-08-26T21:11:04.1977655Z ##[endgroup]
2025-08-26T21:11:04.1999431Z + echo 'dependencies={}'
2025-08-26T21:11:04.2020289Z ##[group]Run set -eux
2025-08-26T21:11:04.2020500Z set -eux
2025-08-26T21:11:04.2020662Z 
2025-08-26T21:11:04.2020857Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-26T21:11:04.2021154Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-26T21:11:04.2021526Z   # We don't want the job to fail if the directory doesn't exist
2025-08-26T21:11:04.2021779Z   exit 0
2025-08-26T21:11:04.2021940Z fi
2025-08-26T21:11:04.2022091Z 
2025-08-26T21:11:04.2022255Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-26T21:11:04.2022580Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T21:11:04.2022940Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T21:11:04.2023234Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T21:11:04.2023474Z     --runners "${RUNNER_INFO}" \
2025-08-26T21:11:04.2023702Z     --dependencies "${DEPENDENCIES}" \
2025-08-26T21:11:04.2023929Z     --dry-run
2025-08-26T21:11:04.2024104Z else
2025-08-26T21:11:04.2024355Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T21:11:04.2024692Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T21:11:04.2024961Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T21:11:04.2025190Z     --runners "${RUNNER_INFO}" \
2025-08-26T21:11:04.2025417Z     --dependencies "${DEPENDENCIES}"
2025-08-26T21:11:04.2025623Z fi
2025-08-26T21:11:04.2029895Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:04.2030156Z env:
2025-08-26T21:11:04.2030357Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:04.2030762Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:04.2031087Z   DEVICE_NAME: 
2025-08-26T21:11:04.2031256Z   DEVICE_TYPE: 
2025-08-26T21:11:04.2031448Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-26T21:11:04.2031667Z   DRY_RUN: false
2025-08-26T21:11:04.2032788Z   BENCHMARK_METADATA: {"timestamp": 1756242664, "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": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463670, "run_attempt": 1, "job_id": 48946862593}
2025-08-26T21:11:04.2033918Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-48-98.ec2.internal"}, "name": "", "type": ""}]
2025-08-26T21:11:04.2034317Z   DEPENDENCIES: {}
2025-08-26T21:11:04.2034508Z ##[endgroup]
2025-08-26T21:11:04.2056049Z + [[ ! -d test/test-reports ]]
2025-08-26T21:11:04.2056336Z + [[ false == \t\r\u\e ]]
2025-08-26T21:11:04.2058660Z + 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": 1756242664, "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": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463670, "run_attempt": 1, "job_id": 48946862593}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-48-98.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-08-26T21:11:04.3262920Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862593/inference_torchbench.json
2025-08-26T21:11:04.3559069Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-08-26T21:11:04.5722256Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-26T21:11:04.5722620Z cat test/**/*_toprint.log || true
2025-08-26T21:11:04.5727265Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:04.5727519Z env:
2025-08-26T21:11:04.5727688Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:04.5728059Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:04.5728389Z   DEVICE_NAME: 
2025-08-26T21:11:04.5728566Z   DEVICE_TYPE: 
2025-08-26T21:11:04.5728735Z ##[endgroup]
2025-08-26T21:11:04.5800995Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-26T21:11:04.5832035Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-26T21:11:04.5832317Z kill "$MONITOR_SCRIPT_PID"
2025-08-26T21:11:04.5837241Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:04.5837512Z env:
2025-08-26T21:11:04.5837669Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:04.5837966Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:04.5838275Z   DEVICE_NAME: 
2025-08-26T21:11:04.5838431Z   DEVICE_TYPE: 
2025-08-26T21:11:04.5838595Z   MONITOR_SCRIPT_PID: 48493
2025-08-26T21:11:04.5838773Z ##[endgroup]
2025-08-26T21:11:04.5945110Z Prepare all required actions
2025-08-26T21:11:04.5945643Z Getting action download info
2025-08-26T21:11:04.7421004Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T21:11:04.9537107Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-26T21:11:05.4509782Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-26T21:11:05.4510039Z with:
2025-08-26T21:11:05.4510332Z   file-suffix: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593
2025-08-26T21:11:05.4510656Z   s3-bucket: gha-artifacts
2025-08-26T21:11:05.4510848Z env:
2025-08-26T21:11:05.4511006Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:05.4511322Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:05.4511667Z   DEVICE_NAME: 
2025-08-26T21:11:05.4511838Z   DEVICE_TYPE: 
2025-08-26T21:11:05.4512003Z ##[endgroup]
2025-08-26T21:11:05.4539568Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-26T21:11:05.4539930Z # Remove any previous test jsons if they exist
2025-08-26T21:11:05.4540196Z rm -f test-jsons-*.zip
2025-08-26T21:11:05.4540512Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-26T21:11:05.4545570Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:05.4545834Z env:
2025-08-26T21:11:05.4545999Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:05.4546384Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:05.4546726Z   DEVICE_NAME: 
2025-08-26T21:11:05.4546898Z   DEVICE_TYPE: 
2025-08-26T21:11:05.4547195Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593
2025-08-26T21:11:05.4547529Z ##[endgroup]
2025-08-26T21:11:05.4719983Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-08-26T21:11:05.4750968Z ##[group]Run # Remove any previous test reports if they exist
2025-08-26T21:11:05.4751330Z # Remove any previous test reports if they exist
2025-08-26T21:11:05.4751590Z rm -f test-reports-*.zip
2025-08-26T21:11:05.4751919Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-26T21:11:05.4757218Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:05.4757487Z env:
2025-08-26T21:11:05.4757653Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:05.4757997Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:05.4758346Z   DEVICE_NAME: 
2025-08-26T21:11:05.4758517Z   DEVICE_TYPE: 
2025-08-26T21:11:05.4758811Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593
2025-08-26T21:11:05.4759199Z ##[endgroup]
2025-08-26T21:11:05.4831919Z   adding: test/test-reports/inference_torchbench.csv (deflated 60%)
2025-08-26T21:11:05.4838232Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 94%)
2025-08-26T21:11:05.4840400Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%)
2025-08-26T21:11:05.4872005Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-26T21:11:05.4872346Z # Remove any previous usage logs if they exist
2025-08-26T21:11:05.4872875Z rm -f logs-*.zip
2025-08-26T21:11:05.4873162Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-26T21:11:05.4873501Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-26T21:11:05.4878194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:05.4878447Z env:
2025-08-26T21:11:05.4878616Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:05.4878929Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:05.4879273Z   DEVICE_NAME: 
2025-08-26T21:11:05.4879442Z   DEVICE_TYPE: 
2025-08-26T21:11:05.4879875Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593
2025-08-26T21:11:05.4880205Z ##[endgroup]
2025-08-26T21:11:05.4968077Z   adding: usage_log.txt (deflated 97%)
2025-08-26T21:11:05.4978332Z 
2025-08-26T21:11:05.4983829Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip)
2025-08-26T21:11:05.5020009Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-26T21:11:05.5020367Z # Remove any previous debugging artifacts if they exist
2025-08-26T21:11:05.5020639Z rm -f debug-*.zip
2025-08-26T21:11:05.5020838Z if [ -d 'test/debug' ]; then
2025-08-26T21:11:05.5021077Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-26T21:11:05.5021300Z fi
2025-08-26T21:11:05.5025762Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:05.5026009Z env:
2025-08-26T21:11:05.5026165Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:05.5026488Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:05.5026816Z   DEVICE_NAME: 
2025-08-26T21:11:05.5026979Z   DEVICE_TYPE: 
2025-08-26T21:11:05.5027249Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593
2025-08-26T21:11:05.5027558Z ##[endgroup]
2025-08-26T21:11:05.5108282Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T21:11:05.5108531Z with:
2025-08-26T21:11:05.5108708Z   s3-bucket: gha-artifacts
2025-08-26T21:11:05.5108939Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T21:11:05.5109190Z   retention-days: 14
2025-08-26T21:11:05.5109377Z   if-no-files-found: warn
2025-08-26T21:11:05.5109581Z   path: test-jsons-*.zip
2025-08-26T21:11:05.5109762Z   name: artifact
2025-08-26T21:11:05.5109934Z   region: us-east-1
2025-08-26T21:11:05.5110117Z env:
2025-08-26T21:11:05.5110278Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:05.5110610Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:05.5110944Z   DEVICE_NAME: 
2025-08-26T21:11:05.5111116Z   DEVICE_TYPE: 
2025-08-26T21:11:05.5111281Z ##[endgroup]
2025-08-26T21:11:05.8132691Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T21:11:05.8133046Z With the provided path, there will be 1 file uploaded
2025-08-26T21:11:05.8133358Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T21:11:05.8165100Z Starting upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip
2025-08-26T21:11:05.9661316Z Finished upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip
2025-08-26T21:11:05.9803791Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T21:11:05.9804048Z with:
2025-08-26T21:11:05.9804221Z   s3-bucket: gha-artifacts
2025-08-26T21:11:05.9804541Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T21:11:05.9804784Z   retention-days: 14
2025-08-26T21:11:05.9804963Z   if-no-files-found: error
2025-08-26T21:11:05.9805181Z   path: test-reports-*.zip
2025-08-26T21:11:05.9805420Z   name: artifact
2025-08-26T21:11:05.9805586Z   region: us-east-1
2025-08-26T21:11:05.9805750Z env:
2025-08-26T21:11:05.9805903Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:05.9806219Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:05.9806549Z   DEVICE_NAME: 
2025-08-26T21:11:05.9806705Z   DEVICE_TYPE: 
2025-08-26T21:11:05.9806867Z ##[endgroup]
2025-08-26T21:11:06.2428604Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T21:11:06.2429431Z With the provided path, there will be 1 file uploaded
2025-08-26T21:11:06.2429775Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T21:11:06.2460777Z Starting upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip
2025-08-26T21:11:06.3561551Z Finished upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip
2025-08-26T21:11:06.3713585Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T21:11:06.3713850Z with:
2025-08-26T21:11:06.3714034Z   s3-bucket: gha-artifacts
2025-08-26T21:11:06.3714285Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T21:11:06.3714761Z   retention-days: 14
2025-08-26T21:11:06.3714941Z   if-no-files-found: ignore
2025-08-26T21:11:06.3715137Z   path: logs-*.zip
2025-08-26T21:11:06.3715308Z   name: artifact
2025-08-26T21:11:06.3715478Z   region: us-east-1
2025-08-26T21:11:06.3715641Z env:
2025-08-26T21:11:06.3715801Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:06.3716134Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:06.3716470Z   DEVICE_NAME: 
2025-08-26T21:11:06.3716629Z   DEVICE_TYPE: 
2025-08-26T21:11:06.3716792Z ##[endgroup]
2025-08-26T21:11:06.6336729Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T21:11:06.6337069Z With the provided path, there will be 1 file uploaded
2025-08-26T21:11:06.6337405Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T21:11:06.6371633Z Starting upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip
2025-08-26T21:11:06.7746097Z Finished upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip
2025-08-26T21:11:06.7897372Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T21:11:06.7897619Z with:
2025-08-26T21:11:06.7897794Z   s3-bucket: gha-artifacts
2025-08-26T21:11:06.7898032Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T21:11:06.7898273Z   retention-days: 14
2025-08-26T21:11:06.7898451Z   if-no-files-found: ignore
2025-08-26T21:11:06.7898650Z   path: debug-*.zip
2025-08-26T21:11:06.7898822Z   name: artifact
2025-08-26T21:11:06.7898988Z   region: us-east-1
2025-08-26T21:11:06.7899156Z env:
2025-08-26T21:11:06.7899315Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:06.7899632Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:06.7899983Z   DEVICE_NAME: 
2025-08-26T21:11:06.7900152Z   DEVICE_TYPE: 
2025-08-26T21:11:06.7900312Z ##[endgroup]
2025-08-26T21:11:07.0492275Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-26T21:11:07.0665080Z ##[group]Run # shellcheck disable=SC2156
2025-08-26T21:11:07.0665346Z # shellcheck disable=SC2156
2025-08-26T21:11:07.0665698Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-26T21:11:07.0670871Z shell: /usr/bin/bash -e {0}
2025-08-26T21:11:07.0671055Z env:
2025-08-26T21:11:07.0671211Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:07.0671502Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:07.0671916Z   DEVICE_NAME: 
2025-08-26T21:11:07.0672081Z   DEVICE_TYPE: 
2025-08-26T21:11:07.0672243Z ##[endgroup]
2025-08-26T21:11:07.2464877Z Prepare all required actions
2025-08-26T21:11:07.2465211Z Getting action download info
2025-08-26T21:11:07.3628381Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-26T21:11:07.3628775Z with:
2025-08-26T21:11:07.3628967Z   job_id: 48946862593
2025-08-26T21:11:07.3629393Z   job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T21:11:07.3629783Z   workflow_name: inductor
2025-08-26T21:11:07.3629974Z   workflow_run_id: 17248463670
2025-08-26T21:11:07.3630172Z   workflow_attempt: 1
2025-08-26T21:11:07.3630344Z env:
2025-08-26T21:11:07.3630503Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:07.3630814Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:07.3631144Z   DEVICE_NAME: 
2025-08-26T21:11:07.3631313Z   DEVICE_TYPE: 
2025-08-26T21:11:07.3631485Z ##[endgroup]
2025-08-26T21:11:07.3649102Z ##[group]Run echo "workflow_id: 17248463670"
2025-08-26T21:11:07.3649401Z echo "workflow_id: 17248463670"
2025-08-26T21:11:07.3649629Z echo "workflow_attempt: 1"
2025-08-26T21:11:07.3649848Z echo "workflow_Name: inductor"
2025-08-26T21:11:07.3650057Z echo "job_id: 48946862593"
2025-08-26T21:11:07.3650476Z echo "job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)"
2025-08-26T21:11:07.3650976Z echo "artifact_prefix: "
2025-08-26T21:11:07.3651179Z python3 --version
2025-08-26T21:11:07.3655916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:07.3656168Z env:
2025-08-26T21:11:07.3656336Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:07.3656646Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:07.3656970Z   DEVICE_NAME: 
2025-08-26T21:11:07.3657134Z   DEVICE_TYPE: 
2025-08-26T21:11:07.3657296Z ##[endgroup]
2025-08-26T21:11:07.3682964Z workflow_id: 17248463670
2025-08-26T21:11:07.3683245Z workflow_attempt: 1
2025-08-26T21:11:07.3683436Z workflow_Name: inductor
2025-08-26T21:11:07.3683616Z job_id: 48946862593
2025-08-26T21:11:07.3684023Z job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T21:11:07.3684412Z artifact_prefix: 
2025-08-26T21:11:07.3698918Z Python 3.9.23
2025-08-26T21:11:07.3753382Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T21:11:07.3753611Z with:
2025-08-26T21:11:07.3753776Z   shell: bash
2025-08-26T21:11:07.3753935Z   timeout_minutes: 5
2025-08-26T21:11:07.3754112Z   max_attempts: 5
2025-08-26T21:11:07.3754293Z   retry_wait_seconds: 30
2025-08-26T21:11:07.3754672Z   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

2025-08-26T21:11:07.3755041Z   polling_interval_seconds: 1
2025-08-26T21:11:07.3755247Z   warning_on_retry: true
2025-08-26T21:11:07.3755427Z   continue_on_error: false
2025-08-26T21:11:07.3755617Z env:
2025-08-26T21:11:07.3755764Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:07.3756075Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:07.3756400Z   DEVICE_NAME: 
2025-08-26T21:11:07.3756564Z   DEVICE_TYPE: 
2025-08-26T21:11:07.3756715Z ##[endgroup]
2025-08-26T21:11:07.6478187Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T21:11:07.7087191Z Collecting python-dateutil==2.8.2
2025-08-26T21:11:07.7251587Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-26T21:11:08.4456367Z Collecting boto3==1.35.42
2025-08-26T21:11:08.4491814Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-26T21:11:08.8390768Z Collecting pandas==2.1.3
2025-08-26T21:11:08.8432762Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-26T21:11:08.9967260Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-26T21:11:08.9977901Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-26T21:11:09.0013512Z 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)
2025-08-26T21:11:09.0018674Z 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)
2025-08-26T21:11:09.0022440Z 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)
2025-08-26T21:11:09.6679401Z Collecting numpy<2,>=1.22.4
2025-08-26T21:11:09.6715660Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-26T21:11:09.7861603Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-26T21:11:09.8096216Z Collecting tzdata>=2022.1
2025-08-26T21:11:09.8131887Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-26T21:11:09.8241284Z 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)
2025-08-26T21:11:09.8248130Z 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)
2025-08-26T21:11:09.8290136Z 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)
2025-08-26T21:11:09.8391065Z 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)
2025-08-26T21:11:09.8476849Z 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)
2025-08-26T21:11:09.8477762Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-08-26T21:11:09.9712818Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-26T21:11:14.1679638Z   Attempting uninstall: boto3
2025-08-26T21:11:14.1680226Z     Found existing installation: boto3 1.35.33
2025-08-26T21:11:14.1752815Z     Uninstalling boto3-1.35.33:
2025-08-26T21:11:14.1761902Z       Successfully uninstalled boto3-1.35.33
2025-08-26T21:11:14.2205668Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-26T21:11:14.4473180Z Command completed after 1 attempt(s).
2025-08-26T21:11:14.4527474Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T21:11:14.4527948Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T21:11:14.4528290Z   --workflow-run-id "17248463670" \
2025-08-26T21:11:14.4528530Z   --workflow-name "inductor" \
2025-08-26T21:11:14.4528772Z   --workflow-run-attempt "1" \
2025-08-26T21:11:14.4528995Z   --job-id "48946862593" \
2025-08-26T21:11:14.4529418Z   --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \
2025-08-26T21:11:14.4529834Z   --local-path "" \
2025-08-26T21:11:14.4530050Z   --artifact-prefix ""
2025-08-26T21:11:14.4534727Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:14.4534977Z env:
2025-08-26T21:11:14.4535141Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:14.4535466Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:14.4535792Z   DEVICE_NAME: 
2025-08-26T21:11:14.4536045Z   DEVICE_TYPE: 
2025-08-26T21:11:14.4536202Z ##[endgroup]
2025-08-26T21:11:15.5102119Z repo: pytorch/pytorch
2025-08-26T21:11:15.5102487Z Search for test log in s3 bucket: ossci-utilization
2025-08-26T21:11:15.5102898Z Downloading logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip
2025-08-26T21:11:15.5103506Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862593.zip
2025-08-26T21:11:15.5103941Z Converted Log Model: UtilizationMetadata:
2025-08-26T21:11:15.5104879Z  UtilizationMetadata(level='metadata', workflow_id='17248463670', job_id='48946862593', 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=1756239552, gpu_count=0, cpu_count=32, gpu_type=None, error=None)
2025-08-26T21:11:15.5105826Z [Db Segments] detected pytest cmd: 10, generated segments: 10
2025-08-26T21:11:15.5106140Z [db model] Peek db timeseries 
2025-08-26T21:11:15.5106333Z :{
2025-08-26T21:11:15.5106489Z     "created_at": 1756242675,
2025-08-26T21:11:15.5106674Z     "type": "utilization",
2025-08-26T21:11:15.5106858Z     "tags": [
2025-08-26T21:11:15.5107017Z         "record"
2025-08-26T21:11:15.5107176Z     ],
2025-08-26T21:11:15.5107329Z     "time_stamp": 1756239552,
2025-08-26T21:11:15.5107531Z     "repo": "pytorch/pytorch",
2025-08-26T21:11:15.5107728Z     "workflow_id": 17248463670,
2025-08-26T21:11:15.5107918Z     "run_attempt": 1,
2025-08-26T21:11:15.5108152Z     "job_id": 48946862593,
2025-08-26T21:11:15.5108342Z     "workflow_name": "inductor",
2025-08-26T21:11:15.5108734Z     "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)",
2025-08-26T21:11:15.5109129Z     "json_data": "{}"
2025-08-26T21:11:15.5109289Z }
2025-08-26T21:11:15.5109623Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463670/1/48946862593/metadata
2025-08-26T21:11:15.5110198Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463670/1/48946862593/metadata 
2025-08-26T21:11:15.5110776Z Writing 621 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463670/1/48946862593/time_series
2025-08-26T21:11:15.5111376Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463670/1/48946862593/time_series 
2025-08-26T21:11:15.6220293Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-26T21:11:15.6220649Z with:
2025-08-26T21:11:15.6220833Z env:
2025-08-26T21:11:15.6221033Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:15.6221416Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:15.6221815Z   DEVICE_NAME: 
2025-08-26T21:11:15.6222013Z   DEVICE_TYPE: 
2025-08-26T21:11:15.6222197Z ##[endgroup]
2025-08-26T21:11:15.6240272Z ##[group]Run set -eou pipefail
2025-08-26T21:11:15.6240560Z set -eou pipefail
2025-08-26T21:11:15.6240778Z 
2025-08-26T21:11:15.6241067Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-26T21:11:15.6241464Z for _ in $(seq 1440); do
2025-08-26T21:11:15.6241738Z     # Break if no ssh session exists anymore
2025-08-26T21:11:15.6242003Z     if [ "$(who)" = "" ]; then
2025-08-26T21:11:15.6242233Z       break
2025-08-26T21:11:15.6242452Z     fi
2025-08-26T21:11:15.6242658Z     echo "."
2025-08-26T21:11:15.6242852Z     sleep 5
2025-08-26T21:11:15.6243032Z done
2025-08-26T21:11:15.6248139Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:15.6248395Z env:
2025-08-26T21:11:15.6248556Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:15.6248860Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:15.6249186Z   DEVICE_NAME: 
2025-08-26T21:11:15.6249417Z   DEVICE_TYPE: 
2025-08-26T21:11:15.6249581Z ##[endgroup]
2025-08-26T21:11:15.6272878Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-26T21:11:15.6353995Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T21:11:15.6354667Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T21:11:15.6354958Z # shellcheck disable=SC2046
2025-08-26T21:11:15.6355205Z docker stop $(docker ps -q) || true
2025-08-26T21:11:15.6355435Z # Prune all of the docker images
2025-08-26T21:11:15.6355661Z docker system prune -af
2025-08-26T21:11:15.6360164Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:15.6360419Z env:
2025-08-26T21:11:15.6360587Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:11:15.6360903Z   DOCKER_CONTAINER_ID: aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:15.6361217Z   DEVICE_NAME: 
2025-08-26T21:11:15.6361386Z   DEVICE_TYPE: 
2025-08-26T21:11:15.6361547Z ##[endgroup]
2025-08-26T21:11:26.6425066Z aa459d8d4952
2025-08-26T21:11:27.0169188Z Deleted Containers:
2025-08-26T21:11:27.0169545Z aa459d8d495245dec4d9ff6d08204b41b2a2f3bd5067fbd404a9d02bbd646b0e
2025-08-26T21:11:27.0169804Z 
2025-08-26T21:11:34.4218483Z Deleted Images:
2025-08-26T21:11:34.4219357Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T21:11:34.4220288Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c
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2025-08-26T21:11:34.5191169Z [command]/usr/bin/git version
2025-08-26T21:11:34.5232692Z git version 2.47.1
2025-08-26T21:11:34.5261930Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/de9da8bc-4a5c-4442-b8a2-5642141ca5a0/.gitconfig'
2025-08-26T21:11:34.5273935Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/de9da8bc-4a5c-4442-b8a2-5642141ca5a0' before making global git config changes
2025-08-26T21:11:34.5279102Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T21:11:34.5279640Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T21:11:34.5318673Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
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2025-08-26T21:11:35.0204061Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-08-26T21:11:35.4495307Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T21:11:35.4534372Z http.https://github.com/.extraheader
2025-08-26T21:11:35.4572436Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T21:11:35.4600943Z http.https://github.com/.extraheader
2025-08-26T21:11:35.4640799Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T21:11:35.4673060Z http.https://github.com/.extraheader
2025-08-26T21:11:35.4709888Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T21:11:35.4747827Z http.https://github.com/.extraheader
2025-08-26T21:11:35.4788345Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T21:11:35.4826682Z http.https://github.com/.extraheader
2025-08-26T21:11:35.4863093Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T21:11:35.4898503Z http.https://github.com/.extraheader
2025-08-26T21:11:35.4937539Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T21:11:35.4973447Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5004959Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T21:11:35.5044807Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5085493Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T21:11:35.5118359Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5158156Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T21:11:35.5193035Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5229118Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T21:11:35.5264174Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5321210Z Entering 'third_party/pocketfft'
2025-08-26T21:11:35.5357319Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5395215Z Entering 'third_party/protobuf'
2025-08-26T21:11:35.5430928Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5465818Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T21:11:35.5505437Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5543456Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T21:11:35.5575194Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5608949Z Entering 'third_party/psimd'
2025-08-26T21:11:35.5647690Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5684104Z Entering 'third_party/pthreadpool'
2025-08-26T21:11:35.5722008Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5759351Z Entering 'third_party/pybind11'
2025-08-26T21:11:35.5791609Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5824897Z Entering 'third_party/python-peachpy'
2025-08-26T21:11:35.5863592Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5899922Z Entering 'third_party/sleef'
2025-08-26T21:11:35.5934917Z http.https://github.com/.extraheader
2025-08-26T21:11:35.5969377Z Entering 'third_party/tensorpipe'
2025-08-26T21:11:35.6004160Z http.https://github.com/.extraheader
2025-08-26T21:11:35.6041272Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T21:11:35.6074835Z http.https://github.com/.extraheader
2025-08-26T21:11:35.6112433Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T21:11:35.6147758Z http.https://github.com/.extraheader
2025-08-26T21:11:35.6181612Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T21:11:35.6219610Z http.https://github.com/.extraheader
2025-08-26T21:11:35.6256818Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T21:11:35.6294061Z http.https://github.com/.extraheader
2025-08-26T21:11:35.6327345Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T21:11:35.6361195Z http.https://github.com/.extraheader
2025-08-26T21:11:35.6503850Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-26T21:11:35.6530693Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-26T21:11:35.6534244Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:11:35.6534507Z ##[endgroup]
2025-08-26T21:11:35.6616597Z [!ALERT!] Swap in detected! [!ALERT!]
2025-08-26T21:11:45.1631247Z [!ALERT!] Swap out detected [!ALERT!]
2025-08-26T21:12:01.2525786Z Cleaning up orphan processes